Auctioning Used-Car Classifier

Author: Andrew Tran

Blog Post Inspiration and Objectives

In this blog post, I was hoping to look into using Machine Learning to make a prediction system. In particular, I was hoping to imitate ones used for stock prediction. However, since there were too many tutorials on this topic, I decided to investigate into another global, financial factor that governs trade internationally: international currency rates. In the news recently, I have heard rumors of how the international standard of utilizing the US dollar could be compromised with other global powers such as China and India rise in global dominance. Thus, I focused my efforts on analyzing the US currency conversion rates to other countries. With that said, let’s try to analyze this topic with some Machine Learning:

Data Preprocessing - Cleaning and Analytics

```{python}
# Import needed libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import Adam
from tensorflow.keras import layers
from copy import deepcopy
import datetime as dt
plt.style.use("fivethirtyeight")
```

First, we will read and display the initial dataset in our file system for this blog post, downloaded from Kaggle. This dataset contains loads of valuable information such as almost every major world power’s international US currency conversion rate.

```{python}
# Reading and displaying the initial dataset
df = pd.read_csv("datasets/foreign_exchange_rates.csv")
df
```

	Unnamed: 0	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
5212	5212	2019-12-25	ND	ND	ND	ND	ND	ND	ND	ND	...	ND	ND	ND	ND	ND	ND	ND	ND	ND	ND
5213	5213	2019-12-26	1.4411	0.9007	1.5002	0.7688	4.0602	1.3124	6.9949	7.788	...	1.354	6.7295	109.67	4.1337	8.8799	9.4108	181.3	0.9808	30.11	30.15
5214	5214	2019-12-27	1.4331	0.8949	1.4919	0.7639	4.0507	1.3073	6.9954	7.7874	...	1.352	6.6829	109.47	4.126	8.8291	9.3405	181.35	0.9741	30.09	30.14
5215	5215	2019-12-30	1.4278	0.8915	1.4846	0.761	4.0152	1.3058	6.9864	7.7857	...	1.3483	6.6589	108.85	4.1053	8.7839	9.3145	181.6	0.9677	30.04	29.94
5216	5216	2019-12-31	1.4225	0.8907	1.4826	0.7536	4.019	1.2962	6.9618	7.7894	...	1.3446	6.6554	108.67	4.0918	8.7823	9.3425	181.3	0.9677	29.91	29.75

5217 rows × 24 columns

For clarity on the constraints and parameters of the working datasets, I went to find high-level exploratory statistics on all of the datasets: shape, information about all of the entries, etc.

```{python}
# Determining the shape of the initial dataset
df.shape
```

(5217, 24)

```{python}
# Getting a sample of the initial dataset through the seeing the first 10 entries
# completely in the dataset
df.head()
```

	Unnamed: 0	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3

5 rows × 24 columns

```{python}
# Figuring out all of the columns (and their names) available for me to use in the dataset
df.columns
```

Index(['Unnamed: 0', 'Time Serie', 'AUSTRALIA - AUSTRALIAN DOLLAR/US$',
       'EURO AREA - EURO/US$', 'NEW ZEALAND - NEW ZELAND DOLLAR/US$',
       'UNITED KINGDOM - UNITED KINGDOM POUND/US$', 'BRAZIL - REAL/US$',
       'CANADA - CANADIAN DOLLAR/US$', 'CHINA - YUAN/US$',
       'HONG KONG - HONG KONG DOLLAR/US$', 'INDIA - INDIAN RUPEE/US$',
       'KOREA - WON/US$', 'MEXICO - MEXICAN PESO/US$',
       'SOUTH AFRICA - RAND/US$', 'SINGAPORE - SINGAPORE DOLLAR/US$',
       'DENMARK - DANISH KRONE/US$', 'JAPAN - YEN/US$',
       'MALAYSIA - RINGGIT/US$', 'NORWAY - NORWEGIAN KRONE/US$',
       'SWEDEN - KRONA/US$', 'SRI LANKA - SRI LANKAN RUPEE/US$',
       'SWITZERLAND - FRANC/US$', 'TAIWAN - NEW TAIWAN DOLLAR/US$',
       'THAILAND - BAHT/US$'],
      dtype='object')

```{python}
# Figuring out the number of duplicated elements in the dataset
# (could be problematic if not resolved)
df.duplicated().sum()
```

0

```{python}
# Figuring out the number of 'null'/'NaN' elements in the dataset 
# (if NaN filling is needed or not)
(df.isnull().sum() / df.shape[0]) * 100
```

Unnamed: 0                                   0.0
Time Serie                                   0.0
AUSTRALIA - AUSTRALIAN DOLLAR/US$            0.0
EURO AREA - EURO/US$                         0.0
NEW ZEALAND - NEW ZELAND DOLLAR/US$          0.0
UNITED KINGDOM - UNITED KINGDOM POUND/US$    0.0
BRAZIL - REAL/US$                            0.0
CANADA - CANADIAN DOLLAR/US$                 0.0
CHINA - YUAN/US$                             0.0
HONG KONG - HONG KONG DOLLAR/US$             0.0
INDIA - INDIAN RUPEE/US$                     0.0
KOREA - WON/US$                              0.0
MEXICO - MEXICAN PESO/US$                    0.0
SOUTH AFRICA - RAND/US$                      0.0
SINGAPORE - SINGAPORE DOLLAR/US$             0.0
DENMARK - DANISH KRONE/US$                   0.0
JAPAN - YEN/US$                              0.0
MALAYSIA - RINGGIT/US$                       0.0
NORWAY - NORWEGIAN KRONE/US$                 0.0
SWEDEN - KRONA/US$                           0.0
SRI LANKA - SRI LANKAN RUPEE/US$             0.0
SWITZERLAND - FRANC/US$                      0.0
TAIWAN - NEW TAIWAN DOLLAR/US$               0.0
THAILAND - BAHT/US$                          0.0
dtype: float64

```{python}
# Getting basic information about the dataset
df.info()
```

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 5217 entries, 0 to 5216
Data columns (total 24 columns):
 #   Column                                     Non-Null Count  Dtype 
---  ------                                     --------------  ----- 
 0   Unnamed: 0                                 5217 non-null   int64 
 1   Time Serie                                 5217 non-null   object
 2   AUSTRALIA - AUSTRALIAN DOLLAR/US$          5217 non-null   object
 3   EURO AREA - EURO/US$                       5217 non-null   object
 4   NEW ZEALAND - NEW ZELAND DOLLAR/US$        5217 non-null   object
 5   UNITED KINGDOM - UNITED KINGDOM POUND/US$  5217 non-null   object
 6   BRAZIL - REAL/US$                          5217 non-null   object
 7   CANADA - CANADIAN DOLLAR/US$               5217 non-null   object
 8   CHINA - YUAN/US$                           5217 non-null   object
 9   HONG KONG - HONG KONG DOLLAR/US$           5217 non-null   object
 10  INDIA - INDIAN RUPEE/US$                   5217 non-null   object
 11  KOREA - WON/US$                            5217 non-null   object
 12  MEXICO - MEXICAN PESO/US$                  5217 non-null   object
 13  SOUTH AFRICA - RAND/US$                    5217 non-null   object
 14  SINGAPORE - SINGAPORE DOLLAR/US$           5217 non-null   object
 15  DENMARK - DANISH KRONE/US$                 5217 non-null   object
 16  JAPAN - YEN/US$                            5217 non-null   object
 17  MALAYSIA - RINGGIT/US$                     5217 non-null   object
 18  NORWAY - NORWEGIAN KRONE/US$               5217 non-null   object
 19  SWEDEN - KRONA/US$                         5217 non-null   object
 20  SRI LANKA - SRI LANKAN RUPEE/US$           5217 non-null   object
 21  SWITZERLAND - FRANC/US$                    5217 non-null   object
 22  TAIWAN - NEW TAIWAN DOLLAR/US$             5217 non-null   object
 23  THAILAND - BAHT/US$                        5217 non-null   object
dtypes: int64(1), object(23)
memory usage: 978.3+ KB

Additionally, before handing my combined Book dataset over for Machine Learning training and prediction, I need to clean the data prior to the analysis stage: removing duplicates, deleting null/NaN vales, fixing types of columns, filling invalid values with suitable alternatives, etc.

```{python}
# Removing unnecessary/unnamed columns in the dataset
df = df.drop("Unnamed: 0", axis=1)
df
```

	Time Serie	AUSTRALIA - AUSTRALIAN DOLLAR/US$	EURO AREA - EURO/US$	NEW ZEALAND - NEW ZELAND DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	BRAZIL - REAL/US$	CANADA - CANADIAN DOLLAR/US$	CHINA - YUAN/US$	HONG KONG - HONG KONG DOLLAR/US$	INDIA - INDIAN RUPEE/US$	...	SINGAPORE - SINGAPORE DOLLAR/US$	DENMARK - DANISH KRONE/US$	JAPAN - YEN/US$	MALAYSIA - RINGGIT/US$	NORWAY - NORWEGIAN KRONE/US$	SWEDEN - KRONA/US$	SRI LANKA - SRI LANKAN RUPEE/US$	SWITZERLAND - FRANC/US$	TAIWAN - NEW TAIWAN DOLLAR/US$	THAILAND - BAHT/US$
0	2000-01-03	1.5172	0.9847	1.9033	0.6146	1.805	1.4465	8.2798	7.7765	43.55	...	1.6563	7.329	101.7	3.8	7.964	8.443	72.3	1.5808	31.38	36.97
1	2000-01-04	1.5239	0.97	1.9238	0.6109	1.8405	1.4518	8.2799	7.7775	43.55	...	1.6535	7.218	103.09	3.8	7.934	8.36	72.65	1.5565	30.6	37.13
2	2000-01-05	1.5267	0.9676	1.9339	0.6092	1.856	1.4518	8.2798	7.778	43.55	...	1.656	7.208	103.77	3.8	7.935	8.353	72.95	1.5526	30.8	37.1
3	2000-01-06	1.5291	0.9686	1.9436	0.607	1.84	1.4571	8.2797	7.7785	43.55	...	1.6655	7.2125	105.19	3.8	7.94	8.3675	72.95	1.554	31.75	37.62
4	2000-01-07	1.5272	0.9714	1.938	0.6104	1.831	1.4505	8.2794	7.7783	43.55	...	1.6625	7.2285	105.17	3.8	7.966	8.415	73.15	1.5623	30.85	37.3
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
5212	2019-12-25	ND	ND	ND	ND	ND	ND	ND	ND	ND	...	ND	ND	ND	ND	ND	ND	ND	ND	ND	ND
5213	2019-12-26	1.4411	0.9007	1.5002	0.7688	4.0602	1.3124	6.9949	7.788	71.28	...	1.354	6.7295	109.67	4.1337	8.8799	9.4108	181.3	0.9808	30.11	30.15
5214	2019-12-27	1.4331	0.8949	1.4919	0.7639	4.0507	1.3073	6.9954	7.7874	71.45	...	1.352	6.6829	109.47	4.126	8.8291	9.3405	181.35	0.9741	30.09	30.14
5215	2019-12-30	1.4278	0.8915	1.4846	0.761	4.0152	1.3058	6.9864	7.7857	71.3	...	1.3483	6.6589	108.85	4.1053	8.7839	9.3145	181.6	0.9677	30.04	29.94
5216	2019-12-31	1.4225	0.8907	1.4826	0.7536	4.019	1.2962	6.9618	7.7894	71.36	...	1.3446	6.6554	108.67	4.0918	8.7823	9.3425	181.3	0.9677	29.91	29.75

5217 rows × 23 columns

```{python}
# Converting the date column into a string representation to a parsable
# Datetime object (needed for later)
df = df.rename(columns={"Time Serie": "DATE"})

def str_to_datetime(date_str: str):
    split = tuple(date_str.split("-"))
    year, month, day = int(split[0]), int(split[1]), int(split[2])
    return dt.datetime(year, month, day)

df["DATE"] = df["DATE"].apply(str_to_datetime)
df["DATE"]
```

0      2000-01-03
1      2000-01-04
2      2000-01-05
3      2000-01-06
4      2000-01-07
          ...    
5212   2019-12-25
5213   2019-12-26
5214   2019-12-27
5215   2019-12-30
5216   2019-12-31
Name: DATE, Length: 5217, dtype: datetime64[ns]

As shown below, I had decided to filter out all of the countries except Austrailia, Canada, the United Kingdom, and Switzerland because those countries had the most stable and consistent international currency rates as well as the most comparable (1:1) currency rates with the United States. One additional reason that these countries were selected for this blog post was do the geographical diversity covered most landmass continents across the world, representative of the global market interactions that the United States deals with on a day-to-day basis.

```{python}
# Making the "Date" column the new index (better identifer/key in dataset)
# Taking out other countries except Austrailia, Canada, UK, and 
# Switzerland from dataset for Machine Learning blog post
df.index = df.pop("DATE")
df = df[["AUSTRALIA - AUSTRALIAN DOLLAR/US$", 
         "CANADA - CANADIAN DOLLAR/US$",
         "UNITED KINGDOM - UNITED KINGDOM POUND/US$",
         "SWITZERLAND - FRANC/US$"]]
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.5172	1.4465	0.6146	1.5808
2000-01-04	1.5239	1.4518	0.6109	1.5565
2000-01-05	1.5267	1.4518	0.6092	1.5526
2000-01-06	1.5291	1.4571	0.607	1.554
2000-01-07	1.5272	1.4505	0.6104	1.5623
...	...	...	...	...
2019-12-25	ND	ND	ND	ND
2019-12-26	1.4411	1.3124	0.7688	0.9808
2019-12-27	1.4331	1.3073	0.7639	0.9741
2019-12-30	1.4278	1.3058	0.761	0.9677
2019-12-31	1.4225	1.2962	0.7536	0.9677

5217 rows × 4 columns

```{python}
# Converting of all numerical international currency rates to 2-decimal 
# rates (easier to work with for later)
for col in df:
    df[col] = df[col].map(lambda entry: entry if entry == "ND" else round(float(entry), 2))
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.52	1.45	0.61	1.58
2000-01-04	1.52	1.45	0.61	1.56
2000-01-05	1.53	1.45	0.61	1.55
2000-01-06	1.53	1.46	0.61	1.55
2000-01-07	1.53	1.45	0.61	1.56
...	...	...	...	...
2019-12-25	ND	ND	ND	ND
2019-12-26	1.44	1.31	0.77	0.98
2019-12-27	1.43	1.31	0.76	0.97
2019-12-30	1.43	1.31	0.76	0.97
2019-12-31	1.42	1.3	0.75	0.97

5217 rows × 4 columns

```{python}
# Removing all of the dated rows that contains "ND" as a way to avoid problems 
# when trying to interlay Machine Learning algorithms that require only
# quantitative data with categorical entries
nd_index_list: set[str] = set()
for row_index, _ in df.iterrows():
    for col_entry in df.loc[row_index]:
        if col_entry == "ND":
             nd_index_list.add(row_index)

df = df.drop(labels=list(nd_index_list), axis=0)
df
```

	AUSTRALIA - AUSTRALIAN DOLLAR/US$	CANADA - CANADIAN DOLLAR/US$	UNITED KINGDOM - UNITED KINGDOM POUND/US$	SWITZERLAND - FRANC/US$
DATE
2000-01-03	1.52	1.45	0.61	1.58
2000-01-04	1.52	1.45	0.61	1.56
2000-01-05	1.53	1.45	0.61	1.55
2000-01-06	1.53	1.46	0.61	1.55
2000-01-07	1.53	1.45	0.61	1.56
...	...	...	...	...
2019-12-24	1.44	1.32	0.77	0.98
2019-12-26	1.44	1.31	0.77	0.98
2019-12-27	1.43	1.31	0.76	0.97
2019-12-30	1.43	1.31	0.76	0.97
2019-12-31	1.42	1.3	0.75	0.97

5019 rows × 4 columns

As shown in the code snippet below, with some online references, the df_to_windowed_df function describes a way to use prediction values. A new international currency rate dataframe is created which includes the rows encompassing the 3 previous dates prior to the current date of when the international currency rate was reported as well as the current rate that day. This would be helpful for later Machine Learning predictions because the previous 3 dates and the current will provide it enough context to make more insightful predictions on the future of the international currency rates between that respective country specified and the United States. Later, as you will see, the 3 previous days are going to be the input and the current currency rate (Target) will be our output.

```{python}
def df_to_windowed_df(data_frame: pd.DataFrame, first_date_str: str, last_date_str: str, n: int, col_name: str):
    first_date = str_to_datetime(first_date_str)
    last_date = str_to_datetime(last_date_str)
    
    target_date = first_date
    
    dates: list = []
    X: list = []
    Y: list = []
    
    last_time = False
    while True:
        df_subset = data_frame.loc[:target_date].tail(n + 1)
        
        if (len(df_subset) != n + 1):
            print("Error: Window of size " + str(n) + " is too large for date " + str(target_date))
            return
        
        values = df_subset[col_name].to_numpy()
        x, y = values[:-1], values[-1]
        
        dates.append(target_date)
        X.append(x)
        Y.append(y)
        
        next_week = data_frame.loc[target_date:target_date + dt.timedelta(days=7)]
        next_datetime_str = str(next_week.head(2).tail(1).index.values[0])
        next_date_str = next_datetime_str.split("T")[0]
        year_month_day = next_date_str.split("-")
        year, month, day = year_month_day
        next_date = dt.datetime(year=int(year), month=int(month), day=int(day))
        
        if last_time:
            break
        
        target_date = next_date
        if (target_date == last_date):
            last_time = True
    
    returned_df = pd.DataFrame({})
    returned_df["Target Date"] = dates
    
    X = np.array(X)
    for i in range(0, n):
        X[:, i]
        returned_df["Target-" + str(n - i)] = X[:, i]
    returned_df["Target"] = Y
    
    return returned_df 
```

Thus, with the df_to_windowed_df function created, we created one for every country to later use for Machine Learning model training and eventual predictions of future rates: Austrailia, Canada, the United Kingdom, and Switzerland.

```{python}
# Convert Austrailia's dataframe to a windowed dataframe
windowed_df_austrailia = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="AUSTRALIA - AUSTRALIAN DOLLAR/US$")
windowed_df_austrailia  
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.52	1.52	1.53	1.53
1	2000-01-07	1.52	1.53	1.53	1.53
2	2000-01-10	1.53	1.53	1.53	1.52
3	2000-01-11	1.53	1.53	1.52	1.52
4	2000-01-12	1.53	1.52	1.52	1.52
...	...	...	...	...	...
5011	2019-12-24	1.45	1.45	1.45	1.44
5012	2019-12-26	1.45	1.45	1.44	1.44
5013	2019-12-27	1.45	1.44	1.44	1.43
5014	2019-12-30	1.44	1.44	1.43	1.43
5015	2019-12-31	1.44	1.43	1.43	1.42

5016 rows × 5 columns

```{python}
# Convert Canada's dataframe to a windowed dataframe
windowed_df_canada = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="CANADA - CANADIAN DOLLAR/US$")
windowed_df_canada
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.45	1.45	1.45	1.46
1	2000-01-07	1.45	1.45	1.46	1.45
2	2000-01-10	1.45	1.46	1.45	1.46
3	2000-01-11	1.46	1.45	1.46	1.46
4	2000-01-12	1.45	1.46	1.46	1.46
...	...	...	...	...	...
5011	2019-12-24	1.31	1.32	1.32	1.32
5012	2019-12-26	1.32	1.32	1.32	1.31
5013	2019-12-27	1.32	1.32	1.31	1.31
5014	2019-12-30	1.32	1.31	1.31	1.31
5015	2019-12-31	1.31	1.31	1.31	1.30

5016 rows × 5 columns

```{python}
# Convert United Kingdom's dataframe to a windowed dataframe
windowed_df_united_kingdom = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="UNITED KINGDOM - UNITED KINGDOM POUND/US$")
windowed_df_united_kingdom
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	0.61	0.61	0.61	0.61
1	2000-01-07	0.61	0.61	0.61	0.61
2	2000-01-10	0.61	0.61	0.61	0.61
3	2000-01-11	0.61	0.61	0.61	0.61
4	2000-01-12	0.61	0.61	0.61	0.61
...	...	...	...	...	...
5011	2019-12-24	0.77	0.77	0.77	0.77
5012	2019-12-26	0.77	0.77	0.77	0.77
5013	2019-12-27	0.77	0.77	0.77	0.76
5014	2019-12-30	0.77	0.77	0.76	0.76
5015	2019-12-31	0.77	0.76	0.76	0.75

5016 rows × 5 columns

```{python}
# Convert Switzerland's dataframe to a windowed dataframe
windowed_df_switzerland = df_to_windowed_df(data_frame=df, 
                                first_date_str="2000-01-06",
                                last_date_str="2019-12-31",
                                n=3,
                                col_name="SWITZERLAND - FRANC/US$")
windowed_df_switzerland
```

	Target Date	Target-3	Target-2	Target-1	Target
0	2000-01-06	1.58	1.56	1.55	1.55
1	2000-01-07	1.56	1.55	1.55	1.56
2	2000-01-10	1.55	1.55	1.56	1.57
3	2000-01-11	1.55	1.56	1.57	1.56
4	2000-01-12	1.56	1.57	1.56	1.57
...	...	...	...	...	...
5011	2019-12-24	0.98	0.98	0.98	0.98
5012	2019-12-26	0.98	0.98	0.98	0.98
5013	2019-12-27	0.98	0.98	0.98	0.97
5014	2019-12-30	0.98	0.98	0.97	0.97
5015	2019-12-31	0.98	0.97	0.97	0.97

5016 rows × 5 columns

As the Machine Learning model that will be used later in this blog post only accepts numpy arrays, we need to extract each of the following quantities from each respective country’s dataframe: the dates as an np.array, the X-values for input as an 3-dimensional np.array, and the Y-values for output as an np.array. Thus, with some online references, our codebase now has a function called windowed_df_to_date_X_y as shown below to account for this needed transformation.

```{python}
def windowed_df_to_date_X_y(windowed_dataframe: pd.DataFrame):
    df_as_np = windowed_dataframe.to_numpy()
    
    dates = df_as_np[:, 0]
    
    middle_matrix = df_as_np[:, 1:-1]
    X = middle_matrix.reshape((len(dates), middle_matrix.shape[1], 1))
    Y = df_as_np[:, -1]
    
    return dates, X.astype(np.float32), Y.astype(np.float32)

dates_austrailia, X_austrailia, y_austrailia = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_austrailia)
dates_canada, X_canada, y_canada = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_canada)
dates_united_kingdom, X_united_kingdom, y_united_kingdom = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_united_kingdom)
dates_switzerland, X_switzerland, y_switzerland = windowed_df_to_date_X_y(windowed_dataframe=windowed_df_switzerland)

print(dates_austrailia.shape, X_austrailia.shape, y_austrailia.shape)
print(dates_canada.shape, X_canada.shape, y_canada.shape)
print(dates_united_kingdom.shape, X_united_kingdom.shape, y_united_kingdom.shape)
print(dates_switzerland.shape, X_switzerland.shape, y_switzerland.shape)
len(windowed_df_austrailia), len(windowed_df_canada), len(windowed_df_united_kingdom), len(windowed_df_switzerland)
```

(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)
(5016,) (5016, 3, 1) (5016,)

(5016, 5016, 5016, 5016)

Here, I am trying to a visualization of the cleaned dataset before we pass it over for Machine Learning training and prediction. To show the rate of change for the International Currency Rates for Austrailia, Canada, the United Kingdom, and Switzerland over the 20-year period as collected in the data set, I put together a line graph as shown below.

```{python}
# Plotting the each four countries currency rates (per US dollar) from 
# 2000 - 2020
plt.plot(df.index, df["AUSTRALIA - AUSTRALIAN DOLLAR/US$"], label="AUS to USD", linewidth=1)
plt.plot(df.index, df[ "CANADA - CANADIAN DOLLAR/US$"], label="CAN to USD", linewidth=1)
plt.plot(df.index, df["UNITED KINGDOM - UNITED KINGDOM POUND/US$"], label="GBR to USD", linewidth=1)
plt.plot(df.index, df["SWITZERLAND - FRANC/US$"], label="CHE to USD", linewidth=1)

plt.legend(loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date", fontsize=12)
plt.ylabel("Currency Rate of the Respective Country to USD", fontsize=12)
plt.title("Culmination of the All Four Countries' Datasets - After Parsing But Before Machine Learning Alterations")
plt.show()
```

Machine Learning - Model Training and Evaluation

Great, now we are onto the Machine Learning part of the blog post!

For this blog post, I worked to create Machine Learning models for each country’s dataset separately. I started with Austrailia’s data first (as shown below):

```{python}
# Getting the location of the 80th and 90th percentile of the number of points 
# in the dataset for later train, vailidation, and test category splitting
percentile_80 = int(len(windowed_df_austrailia) * 0.8)
percentile_90 = int(len(windowed_df_austrailia) * 0.9)
percentile_80, percentile_90
```

(4012, 4514)

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Austrailia’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively. This split should be acceptable because I did not mix-and-match training & validation datasets with my testing datasets, wihch would invalidate my entire Machine Learning model. Additionally, looking at the presented in the validation and testing datasets, the range of these respective datasets have been reached before in my training dataset, meaning I anticipated my model should be able to reasonably predict these expected ranges with considerable accuracy.

```{python}
# Splitting Austrailia's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_austrailia_train, X_austrailia_train, y_austrailia_train = dates_austrailia[:percentile_80], X_austrailia[:percentile_80], y_austrailia[:percentile_80]
dates_austrailia_val, X_austrailia_val, y_austrailia_val = dates_austrailia[percentile_80:percentile_90], X_austrailia[percentile_80:percentile_90], y_austrailia[percentile_80:percentile_90]
dates_austrailia_test, X_austrailia_test, y_austrailia_test = dates_austrailia[percentile_90:], X_austrailia[percentile_90:], y_austrailia[percentile_90:]

plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Austrailia's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Austrailia
austrailia_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

austrailia_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

austrailia_model.fit(X_austrailia_train, y_austrailia_train, validation_data=(X_austrailia_val, y_austrailia_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:29 - loss: 1.5966 - mean_absolute_error: 1.2327 22/126 [====>.........................] - ETA: 0s - loss: 0.9353 - mean_absolute_error: 0.8872   46/126 [=========>....................] - ETA: 0s - loss: 0.4674 - mean_absolute_error: 0.5109 71/126 [===============>..............] - ETA: 0s - loss: 0.3067 - mean_absolute_error: 0.3604 95/126 [=====================>........] - ETA: 0s - loss: 0.2305 - mean_absolute_error: 0.2844121/126 [===========================>..] - ETA: 0s - loss: 0.1820 - mean_absolute_error: 0.2356126/126 [==============================] - 2s 5ms/step - loss: 0.1757 - mean_absolute_error: 0.2291 - val_loss: 2.2355e-04 - val_mean_absolute_error: 0.0124
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0028 - mean_absolute_error: 0.0427 21/126 [====>.........................] - ETA: 0s - loss: 0.0033 - mean_absolute_error: 0.0486 45/126 [=========>....................] - ETA: 0s - loss: 0.0027 - mean_absolute_error: 0.0434 70/126 [===============>..............] - ETA: 0s - loss: 0.0024 - mean_absolute_error: 0.0407 94/126 [=====================>........] - ETA: 0s - loss: 0.0021 - mean_absolute_error: 0.0376119/126 [===========================>..] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0348126/126 [==============================] - 0s 2ms/step - loss: 0.0018 - mean_absolute_error: 0.0340 - val_loss: 1.2723e-04 - val_mean_absolute_error: 0.0087
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 8.1199e-04 - mean_absolute_error: 0.0234 17/126 [===>..........................] - ETA: 0s - loss: 5.9133e-04 - mean_absolute_error: 0.0195 38/126 [========>.....................] - ETA: 0s - loss: 4.9447e-04 - mean_absolute_error: 0.0179 64/126 [==============>...............] - ETA: 0s - loss: 4.4296e-04 - mean_absolute_error: 0.0166 90/126 [====================>.........] - ETA: 0s - loss: 4.1993e-04 - mean_absolute_error: 0.0158117/126 [==========================>...] - ETA: 0s - loss: 3.8387e-04 - mean_absolute_error: 0.0150126/126 [==============================] - 0s 3ms/step - loss: 3.7581e-04 - mean_absolute_error: 0.0148 - val_loss: 1.3074e-04 - val_mean_absolute_error: 0.0088
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 2.1591e-04 - mean_absolute_error: 0.0115 20/126 [===>..........................] - ETA: 0s - loss: 2.2215e-04 - mean_absolute_error: 0.0114 46/126 [=========>....................] - ETA: 0s - loss: 2.4300e-04 - mean_absolute_error: 0.0113 73/126 [================>.............] - ETA: 0s - loss: 2.5030e-04 - mean_absolute_error: 0.0114 97/126 [======================>.......] - ETA: 0s - loss: 2.5306e-04 - mean_absolute_error: 0.0115123/126 [============================>.] - ETA: 0s - loss: 2.5264e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.5355e-04 - mean_absolute_error: 0.0116 - val_loss: 1.6802e-04 - val_mean_absolute_error: 0.0102
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 2.1172e-04 - mean_absolute_error: 0.0113 23/126 [====>.........................] - ETA: 0s - loss: 2.5354e-04 - mean_absolute_error: 0.0112 49/126 [==========>...................] - ETA: 0s - loss: 2.7269e-04 - mean_absolute_error: 0.0116 73/126 [================>.............] - ETA: 0s - loss: 2.5424e-04 - mean_absolute_error: 0.0115 98/126 [======================>.......] - ETA: 0s - loss: 2.4705e-04 - mean_absolute_error: 0.0115122/126 [============================>.] - ETA: 0s - loss: 2.4883e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5363e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2128e-04 - val_mean_absolute_error: 0.0086
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.7351e-04 - mean_absolute_error: 0.0109 23/126 [====>.........................] - ETA: 0s - loss: 2.3139e-04 - mean_absolute_error: 0.0113 48/126 [==========>...................] - ETA: 0s - loss: 2.4261e-04 - mean_absolute_error: 0.0114 74/126 [================>.............] - ETA: 0s - loss: 2.4061e-04 - mean_absolute_error: 0.0113100/126 [======================>.......] - ETA: 0s - loss: 2.4811e-04 - mean_absolute_error: 0.0115126/126 [==============================] - ETA: 0s - loss: 2.5254e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5254e-04 - mean_absolute_error: 0.0115 - val_loss: 1.4255e-04 - val_mean_absolute_error: 0.0093
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 3.5506e-04 - mean_absolute_error: 0.0122 24/126 [====>.........................] - ETA: 0s - loss: 3.0311e-04 - mean_absolute_error: 0.0121 50/126 [==========>...................] - ETA: 0s - loss: 2.6388e-04 - mean_absolute_error: 0.0117 76/126 [=================>............] - ETA: 0s - loss: 2.5802e-04 - mean_absolute_error: 0.0115101/126 [=======================>......] - ETA: 0s - loss: 2.6638e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 2ms/step - loss: 2.5526e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2966e-04 - val_mean_absolute_error: 0.0088
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 2.0756e-04 - mean_absolute_error: 0.0107 23/126 [====>.........................] - ETA: 0s - loss: 2.4055e-04 - mean_absolute_error: 0.0117 46/126 [=========>....................] - ETA: 0s - loss: 2.3792e-04 - mean_absolute_error: 0.0113 72/126 [================>.............] - ETA: 0s - loss: 2.3869e-04 - mean_absolute_error: 0.0113 99/126 [======================>.......] - ETA: 0s - loss: 2.5202e-04 - mean_absolute_error: 0.0114123/126 [============================>.] - ETA: 0s - loss: 2.4933e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.4893e-04 - mean_absolute_error: 0.0114 - val_loss: 1.9414e-04 - val_mean_absolute_error: 0.0111
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 3.1812e-04 - mean_absolute_error: 0.0131 21/126 [====>.........................] - ETA: 0s - loss: 2.2528e-04 - mean_absolute_error: 0.0110 46/126 [=========>....................] - ETA: 0s - loss: 2.5532e-04 - mean_absolute_error: 0.0114 73/126 [================>.............] - ETA: 0s - loss: 2.5752e-04 - mean_absolute_error: 0.0116 98/126 [======================>.......] - ETA: 0s - loss: 2.5252e-04 - mean_absolute_error: 0.0114123/126 [============================>.] - ETA: 0s - loss: 2.5035e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.4988e-04 - mean_absolute_error: 0.0114 - val_loss: 2.2528e-04 - val_mean_absolute_error: 0.0121
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.3140e-04 - mean_absolute_error: 0.0076 25/126 [====>.........................] - ETA: 0s - loss: 2.2476e-04 - mean_absolute_error: 0.0111 49/126 [==========>...................] - ETA: 0s - loss: 2.4225e-04 - mean_absolute_error: 0.0114 72/126 [================>.............] - ETA: 0s - loss: 2.5473e-04 - mean_absolute_error: 0.0115 96/126 [=====================>........] - ETA: 0s - loss: 2.5153e-04 - mean_absolute_error: 0.0115121/126 [===========================>..] - ETA: 0s - loss: 2.5584e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5323e-04 - mean_absolute_error: 0.0115 - val_loss: 1.2829e-04 - val_mean_absolute_error: 0.0090
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 1.8232e-04 - mean_absolute_error: 0.0108 25/126 [====>.........................] - ETA: 0s - loss: 2.1537e-04 - mean_absolute_error: 0.0110 49/126 [==========>...................] - ETA: 0s - loss: 2.5098e-04 - mean_absolute_error: 0.0113 75/126 [================>.............] - ETA: 0s - loss: 2.5516e-04 - mean_absolute_error: 0.0113101/126 [=======================>......] - ETA: 0s - loss: 2.5627e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.5304e-04 - mean_absolute_error: 0.0115 - val_loss: 1.3982e-04 - val_mean_absolute_error: 0.0092
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 2.4441e-04 - mean_absolute_error: 0.0113 17/126 [===>..........................] - ETA: 0s - loss: 2.7280e-04 - mean_absolute_error: 0.0117 38/126 [========>.....................] - ETA: 0s - loss: 2.5508e-04 - mean_absolute_error: 0.0115 62/126 [=============>................] - ETA: 0s - loss: 2.4812e-04 - mean_absolute_error: 0.0114 86/126 [===================>..........] - ETA: 0s - loss: 2.4575e-04 - mean_absolute_error: 0.0113111/126 [=========================>....] - ETA: 0s - loss: 2.5478e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 3ms/step - loss: 2.4925e-04 - mean_absolute_error: 0.0114 - val_loss: 1.4413e-04 - val_mean_absolute_error: 0.0094
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 1.1910e-04 - mean_absolute_error: 0.0088 24/126 [====>.........................] - ETA: 0s - loss: 3.3062e-04 - mean_absolute_error: 0.0122 48/126 [==========>...................] - ETA: 0s - loss: 2.7942e-04 - mean_absolute_error: 0.0118 74/126 [================>.............] - ETA: 0s - loss: 2.8840e-04 - mean_absolute_error: 0.0121 99/126 [======================>.......] - ETA: 0s - loss: 2.6903e-04 - mean_absolute_error: 0.0118124/126 [============================>.] - ETA: 0s - loss: 2.6331e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 2ms/step - loss: 2.6457e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2547e-04 - val_mean_absolute_error: 0.0087
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 6.1116e-04 - mean_absolute_error: 0.0123 24/126 [====>.........................] - ETA: 0s - loss: 2.5049e-04 - mean_absolute_error: 0.0115 48/126 [==========>...................] - ETA: 0s - loss: 2.5279e-04 - mean_absolute_error: 0.0115 74/126 [================>.............] - ETA: 0s - loss: 2.5878e-04 - mean_absolute_error: 0.0116 95/126 [=====================>........] - ETA: 0s - loss: 2.4803e-04 - mean_absolute_error: 0.0115120/126 [===========================>..] - ETA: 0s - loss: 2.5907e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.5935e-04 - mean_absolute_error: 0.0116 - val_loss: 1.7337e-04 - val_mean_absolute_error: 0.0104
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 2.6761e-04 - mean_absolute_error: 0.0127 23/126 [====>.........................] - ETA: 0s - loss: 2.4135e-04 - mean_absolute_error: 0.0115 50/126 [==========>...................] - ETA: 0s - loss: 2.3311e-04 - mean_absolute_error: 0.0113 77/126 [=================>............] - ETA: 0s - loss: 2.4696e-04 - mean_absolute_error: 0.0114102/126 [=======================>......] - ETA: 0s - loss: 2.4655e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 2ms/step - loss: 2.4951e-04 - mean_absolute_error: 0.0114 - val_loss: 1.3098e-04 - val_mean_absolute_error: 0.0089
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 1.9050e-04 - mean_absolute_error: 0.0111 25/126 [====>.........................] - ETA: 0s - loss: 2.1109e-04 - mean_absolute_error: 0.0103 49/126 [==========>...................] - ETA: 0s - loss: 2.5992e-04 - mean_absolute_error: 0.0114 76/126 [=================>............] - ETA: 0s - loss: 2.7281e-04 - mean_absolute_error: 0.0116102/126 [=======================>......] - ETA: 0s - loss: 2.6177e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5067e-04 - mean_absolute_error: 0.0113 - val_loss: 1.3217e-04 - val_mean_absolute_error: 0.0092
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 1.6493e-04 - mean_absolute_error: 0.0106 21/126 [====>.........................] - ETA: 0s - loss: 2.3756e-04 - mean_absolute_error: 0.0112 46/126 [=========>....................] - ETA: 0s - loss: 2.5905e-04 - mean_absolute_error: 0.0118 71/126 [===============>..............] - ETA: 0s - loss: 2.6094e-04 - mean_absolute_error: 0.0117 96/126 [=====================>........] - ETA: 0s - loss: 2.5904e-04 - mean_absolute_error: 0.0117123/126 [============================>.] - ETA: 0s - loss: 2.6031e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 2ms/step - loss: 2.6182e-04 - mean_absolute_error: 0.0118 - val_loss: 2.6543e-04 - val_mean_absolute_error: 0.0134
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 2.8738e-04 - mean_absolute_error: 0.0131 23/126 [====>.........................] - ETA: 0s - loss: 3.7617e-04 - mean_absolute_error: 0.0149 47/126 [==========>...................] - ETA: 0s - loss: 3.1488e-04 - mean_absolute_error: 0.0133 72/126 [================>.............] - ETA: 0s - loss: 2.9543e-04 - mean_absolute_error: 0.0129 98/126 [======================>.......] - ETA: 0s - loss: 2.9627e-04 - mean_absolute_error: 0.0126125/126 [============================>.] - ETA: 0s - loss: 2.8334e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 2ms/step - loss: 2.8298e-04 - mean_absolute_error: 0.0123 - val_loss: 1.2302e-04 - val_mean_absolute_error: 0.0086
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 1.8015e-04 - mean_absolute_error: 0.0112 21/126 [====>.........................] - ETA: 0s - loss: 2.5907e-04 - mean_absolute_error: 0.0113 40/126 [========>.....................] - ETA: 0s - loss: 2.4623e-04 - mean_absolute_error: 0.0114 63/126 [==============>...............] - ETA: 0s - loss: 2.6508e-04 - mean_absolute_error: 0.0117 89/126 [====================>.........] - ETA: 0s - loss: 2.6015e-04 - mean_absolute_error: 0.0116115/126 [==========================>...] - ETA: 0s - loss: 2.6333e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 3ms/step - loss: 2.5900e-04 - mean_absolute_error: 0.0116 - val_loss: 1.4367e-04 - val_mean_absolute_error: 0.0094
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 1.2791e-04 - mean_absolute_error: 0.0094 22/126 [====>.........................] - ETA: 0s - loss: 2.3112e-04 - mean_absolute_error: 0.0112 46/126 [=========>....................] - ETA: 0s - loss: 2.8788e-04 - mean_absolute_error: 0.0123 70/126 [===============>..............] - ETA: 0s - loss: 2.8534e-04 - mean_absolute_error: 0.0122 94/126 [=====================>........] - ETA: 0s - loss: 2.6770e-04 - mean_absolute_error: 0.0119118/126 [===========================>..] - ETA: 0s - loss: 2.6203e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 2ms/step - loss: 2.6432e-04 - mean_absolute_error: 0.0118 - val_loss: 1.1927e-04 - val_mean_absolute_error: 0.0086
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 2.8691e-04 - mean_absolute_error: 0.0131 21/126 [====>.........................] - ETA: 0s - loss: 2.2512e-04 - mean_absolute_error: 0.0108 45/126 [=========>....................] - ETA: 0s - loss: 2.5308e-04 - mean_absolute_error: 0.0115 71/126 [===============>..............] - ETA: 0s - loss: 2.5722e-04 - mean_absolute_error: 0.0114 92/126 [====================>.........] - ETA: 0s - loss: 2.5385e-04 - mean_absolute_error: 0.0114117/126 [==========================>...] - ETA: 0s - loss: 2.4833e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.5175e-04 - mean_absolute_error: 0.0114 - val_loss: 1.2567e-04 - val_mean_absolute_error: 0.0087
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 1.2546e-04 - mean_absolute_error: 0.0091 24/126 [====>.........................] - ETA: 0s - loss: 2.8816e-04 - mean_absolute_error: 0.0125 47/126 [==========>...................] - ETA: 0s - loss: 2.9354e-04 - mean_absolute_error: 0.0123 72/126 [================>.............] - ETA: 0s - loss: 2.8799e-04 - mean_absolute_error: 0.0121 98/126 [======================>.......] - ETA: 0s - loss: 2.8030e-04 - mean_absolute_error: 0.0121123/126 [============================>.] - ETA: 0s - loss: 2.6424e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 2ms/step - loss: 2.6303e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2060e-04 - val_mean_absolute_error: 0.0086
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 2.9491e-04 - mean_absolute_error: 0.0116 23/126 [====>.........................] - ETA: 0s - loss: 2.9111e-04 - mean_absolute_error: 0.0119 49/126 [==========>...................] - ETA: 0s - loss: 2.5755e-04 - mean_absolute_error: 0.0115 75/126 [================>.............] - ETA: 0s - loss: 2.5528e-04 - mean_absolute_error: 0.0115102/126 [=======================>......] - ETA: 0s - loss: 2.4830e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.4844e-04 - mean_absolute_error: 0.0114 - val_loss: 1.4097e-04 - val_mean_absolute_error: 0.0093
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 2.4815e-04 - mean_absolute_error: 0.0115 20/126 [===>..........................] - ETA: 0s - loss: 2.2083e-04 - mean_absolute_error: 0.0109 46/126 [=========>....................] - ETA: 0s - loss: 2.6507e-04 - mean_absolute_error: 0.0120 72/126 [================>.............] - ETA: 0s - loss: 2.5795e-04 - mean_absolute_error: 0.0118 97/126 [======================>.......] - ETA: 0s - loss: 2.5118e-04 - mean_absolute_error: 0.0116120/126 [===========================>..] - ETA: 0s - loss: 2.7069e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 2ms/step - loss: 2.7773e-04 - mean_absolute_error: 0.0121 - val_loss: 2.4419e-04 - val_mean_absolute_error: 0.0131
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 4.1828e-04 - mean_absolute_error: 0.0162 24/126 [====>.........................] - ETA: 0s - loss: 2.7793e-04 - mean_absolute_error: 0.0128 49/126 [==========>...................] - ETA: 0s - loss: 2.6821e-04 - mean_absolute_error: 0.0120 76/126 [=================>............] - ETA: 0s - loss: 2.7899e-04 - mean_absolute_error: 0.0122102/126 [=======================>......] - ETA: 0s - loss: 2.8492e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 2ms/step - loss: 2.6995e-04 - mean_absolute_error: 0.0120 - val_loss: 1.3756e-04 - val_mean_absolute_error: 0.0092
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 2.4270e-04 - mean_absolute_error: 0.0111 20/126 [===>..........................] - ETA: 0s - loss: 4.0054e-04 - mean_absolute_error: 0.0139 43/126 [=========>....................] - ETA: 0s - loss: 3.6041e-04 - mean_absolute_error: 0.0137 67/126 [==============>...............] - ETA: 0s - loss: 3.1215e-04 - mean_absolute_error: 0.0128 94/126 [=====================>........] - ETA: 0s - loss: 2.8894e-04 - mean_absolute_error: 0.0124121/126 [===========================>..] - ETA: 0s - loss: 2.7886e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 2ms/step - loss: 2.7640e-04 - mean_absolute_error: 0.0122 - val_loss: 1.2410e-04 - val_mean_absolute_error: 0.0086
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 1.9432e-04 - mean_absolute_error: 0.0102 21/126 [====>.........................] - ETA: 0s - loss: 2.4647e-04 - mean_absolute_error: 0.0112 42/126 [=========>....................] - ETA: 0s - loss: 2.6355e-04 - mean_absolute_error: 0.0117 63/126 [==============>...............] - ETA: 0s - loss: 2.5851e-04 - mean_absolute_error: 0.0119 88/126 [===================>..........] - ETA: 0s - loss: 2.6837e-04 - mean_absolute_error: 0.0120114/126 [==========================>...] - ETA: 0s - loss: 2.6453e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.5797e-04 - mean_absolute_error: 0.0117 - val_loss: 1.6457e-04 - val_mean_absolute_error: 0.0104
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 2.9151e-04 - mean_absolute_error: 0.0134 18/126 [===>..........................] - ETA: 0s - loss: 2.9014e-04 - mean_absolute_error: 0.0124 38/126 [========>.....................] - ETA: 0s - loss: 2.5665e-04 - mean_absolute_error: 0.0113 62/126 [=============>................] - ETA: 0s - loss: 2.4391e-04 - mean_absolute_error: 0.0111 86/126 [===================>..........] - ETA: 0s - loss: 2.5659e-04 - mean_absolute_error: 0.0115110/126 [=========================>....] - ETA: 0s - loss: 2.6108e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 3ms/step - loss: 2.6972e-04 - mean_absolute_error: 0.0118 - val_loss: 3.6651e-04 - val_mean_absolute_error: 0.0164
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 2.1170e-04 - mean_absolute_error: 0.0122 25/126 [====>.........................] - ETA: 0s - loss: 2.8858e-04 - mean_absolute_error: 0.0124 48/126 [==========>...................] - ETA: 0s - loss: 2.8091e-04 - mean_absolute_error: 0.0120 72/126 [================>.............] - ETA: 0s - loss: 2.5571e-04 - mean_absolute_error: 0.0115 96/126 [=====================>........] - ETA: 0s - loss: 2.4629e-04 - mean_absolute_error: 0.0114120/126 [===========================>..] - ETA: 0s - loss: 2.5795e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.5667e-04 - mean_absolute_error: 0.0116 - val_loss: 2.0029e-04 - val_mean_absolute_error: 0.0117
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 3.3991e-04 - mean_absolute_error: 0.0152 25/126 [====>.........................] - ETA: 0s - loss: 2.5388e-04 - mean_absolute_error: 0.0117 50/126 [==========>...................] - ETA: 0s - loss: 2.8962e-04 - mean_absolute_error: 0.0125 76/126 [=================>............] - ETA: 0s - loss: 2.7443e-04 - mean_absolute_error: 0.0122101/126 [=======================>......] - ETA: 0s - loss: 2.7213e-04 - mean_absolute_error: 0.0121126/126 [==============================] - ETA: 0s - loss: 2.6710e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 2ms/step - loss: 2.6710e-04 - mean_absolute_error: 0.0120 - val_loss: 1.3042e-04 - val_mean_absolute_error: 0.0089
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 1.9713e-04 - mean_absolute_error: 0.0102 22/126 [====>.........................] - ETA: 0s - loss: 1.7776e-04 - mean_absolute_error: 0.0103 47/126 [==========>...................] - ETA: 0s - loss: 2.1900e-04 - mean_absolute_error: 0.0111 71/126 [===============>..............] - ETA: 0s - loss: 2.5206e-04 - mean_absolute_error: 0.0114 97/126 [======================>.......] - ETA: 0s - loss: 2.4074e-04 - mean_absolute_error: 0.0112123/126 [============================>.] - ETA: 0s - loss: 2.4541e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 2ms/step - loss: 2.4437e-04 - mean_absolute_error: 0.0113 - val_loss: 1.8644e-04 - val_mean_absolute_error: 0.0112
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 2.2983e-04 - mean_absolute_error: 0.0114 23/126 [====>.........................] - ETA: 0s - loss: 3.9992e-04 - mean_absolute_error: 0.0155 49/126 [==========>...................] - ETA: 0s - loss: 3.1666e-04 - mean_absolute_error: 0.0134 76/126 [=================>............] - ETA: 0s - loss: 2.8427e-04 - mean_absolute_error: 0.0125103/126 [=======================>......] - ETA: 0s - loss: 2.8685e-04 - mean_absolute_error: 0.0124126/126 [==============================] - 0s 2ms/step - loss: 2.7832e-04 - mean_absolute_error: 0.0122 - val_loss: 1.1659e-04 - val_mean_absolute_error: 0.0085
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 3.4921e-04 - mean_absolute_error: 0.0149 23/126 [====>.........................] - ETA: 0s - loss: 2.8366e-04 - mean_absolute_error: 0.0117 48/126 [==========>...................] - ETA: 0s - loss: 2.8742e-04 - mean_absolute_error: 0.0117 74/126 [================>.............] - ETA: 0s - loss: 2.6894e-04 - mean_absolute_error: 0.0116100/126 [======================>.......] - ETA: 0s - loss: 2.6752e-04 - mean_absolute_error: 0.0117124/126 [============================>.] - ETA: 0s - loss: 2.5447e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5433e-04 - mean_absolute_error: 0.0115 - val_loss: 1.5166e-04 - val_mean_absolute_error: 0.0100
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 1.4239e-04 - mean_absolute_error: 0.0095 24/126 [====>.........................] - ETA: 0s - loss: 2.4997e-04 - mean_absolute_error: 0.0120 49/126 [==========>...................] - ETA: 0s - loss: 2.5431e-04 - mean_absolute_error: 0.0118 74/126 [================>.............] - ETA: 0s - loss: 2.6276e-04 - mean_absolute_error: 0.0117 99/126 [======================>.......] - ETA: 0s - loss: 2.4901e-04 - mean_absolute_error: 0.0115122/126 [============================>.] - ETA: 0s - loss: 2.5431e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.5652e-04 - mean_absolute_error: 0.0117 - val_loss: 4.6495e-04 - val_mean_absolute_error: 0.0190
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 4.6889e-04 - mean_absolute_error: 0.0188 26/126 [=====>........................] - ETA: 0s - loss: 3.0068e-04 - mean_absolute_error: 0.0125 52/126 [===========>..................] - ETA: 0s - loss: 2.8604e-04 - mean_absolute_error: 0.0123 78/126 [=================>............] - ETA: 0s - loss: 2.9629e-04 - mean_absolute_error: 0.0125104/126 [=======================>......] - ETA: 0s - loss: 2.7817e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 2ms/step - loss: 2.6773e-04 - mean_absolute_error: 0.0119 - val_loss: 1.1527e-04 - val_mean_absolute_error: 0.0084
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 3.7240e-04 - mean_absolute_error: 0.0119 23/126 [====>.........................] - ETA: 0s - loss: 2.3287e-04 - mean_absolute_error: 0.0113 48/126 [==========>...................] - ETA: 0s - loss: 2.4415e-04 - mean_absolute_error: 0.0113 75/126 [================>.............] - ETA: 0s - loss: 2.5787e-04 - mean_absolute_error: 0.0114102/126 [=======================>......] - ETA: 0s - loss: 2.5582e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.6123e-04 - mean_absolute_error: 0.0117 - val_loss: 2.8579e-04 - val_mean_absolute_error: 0.0144
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 4.9121e-04 - mean_absolute_error: 0.0185 24/126 [====>.........................] - ETA: 0s - loss: 3.0571e-04 - mean_absolute_error: 0.0136 50/126 [==========>...................] - ETA: 0s - loss: 2.6597e-04 - mean_absolute_error: 0.0124 76/126 [=================>............] - ETA: 0s - loss: 2.8176e-04 - mean_absolute_error: 0.0124101/126 [=======================>......] - ETA: 0s - loss: 2.8095e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 2ms/step - loss: 2.9999e-04 - mean_absolute_error: 0.0128 - val_loss: 2.0096e-04 - val_mean_absolute_error: 0.0117
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 2.2058e-04 - mean_absolute_error: 0.0125 20/126 [===>..........................] - ETA: 0s - loss: 3.0515e-04 - mean_absolute_error: 0.0121 40/126 [========>.....................] - ETA: 0s - loss: 3.1764e-04 - mean_absolute_error: 0.0131 63/126 [==============>...............] - ETA: 0s - loss: 3.0097e-04 - mean_absolute_error: 0.0126 88/126 [===================>..........] - ETA: 0s - loss: 2.8252e-04 - mean_absolute_error: 0.0122113/126 [=========================>....] - ETA: 0s - loss: 2.7758e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 3ms/step - loss: 2.7183e-04 - mean_absolute_error: 0.0120 - val_loss: 1.3191e-04 - val_mean_absolute_error: 0.0090
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 3.2776e-04 - mean_absolute_error: 0.0134 25/126 [====>.........................] - ETA: 0s - loss: 2.6427e-04 - mean_absolute_error: 0.0113 50/126 [==========>...................] - ETA: 0s - loss: 3.1142e-04 - mean_absolute_error: 0.0129 76/126 [=================>............] - ETA: 0s - loss: 3.0524e-04 - mean_absolute_error: 0.0128102/126 [=======================>......] - ETA: 0s - loss: 2.8655e-04 - mean_absolute_error: 0.0124126/126 [==============================] - 0s 2ms/step - loss: 2.8691e-04 - mean_absolute_error: 0.0124 - val_loss: 4.2143e-04 - val_mean_absolute_error: 0.0180
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 5.4033e-04 - mean_absolute_error: 0.0198 21/126 [====>.........................] - ETA: 0s - loss: 3.0380e-04 - mean_absolute_error: 0.0136 45/126 [=========>....................] - ETA: 0s - loss: 2.7088e-04 - mean_absolute_error: 0.0126 69/126 [===============>..............] - ETA: 0s - loss: 2.7166e-04 - mean_absolute_error: 0.0121 94/126 [=====================>........] - ETA: 0s - loss: 2.5980e-04 - mean_absolute_error: 0.0118115/126 [==========================>...] - ETA: 0s - loss: 2.6396e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.6897e-04 - mean_absolute_error: 0.0120 - val_loss: 3.0522e-04 - val_mean_absolute_error: 0.0147
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 4.4636e-04 - mean_absolute_error: 0.0123 19/126 [===>..........................] - ETA: 0s - loss: 3.2215e-04 - mean_absolute_error: 0.0140 42/126 [=========>....................] - ETA: 0s - loss: 2.8443e-04 - mean_absolute_error: 0.0128 66/126 [==============>...............] - ETA: 0s - loss: 2.7721e-04 - mean_absolute_error: 0.0125 90/126 [====================>.........] - ETA: 0s - loss: 2.8968e-04 - mean_absolute_error: 0.0127115/126 [==========================>...] - ETA: 0s - loss: 2.9807e-04 - mean_absolute_error: 0.0129126/126 [==============================] - 0s 3ms/step - loss: 3.0091e-04 - mean_absolute_error: 0.0130 - val_loss: 1.1270e-04 - val_mean_absolute_error: 0.0083
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 2.3425e-04 - mean_absolute_error: 0.0119 24/126 [====>.........................] - ETA: 0s - loss: 3.4338e-04 - mean_absolute_error: 0.0139 49/126 [==========>...................] - ETA: 0s - loss: 3.0989e-04 - mean_absolute_error: 0.0134 76/126 [=================>............] - ETA: 0s - loss: 2.8936e-04 - mean_absolute_error: 0.0126102/126 [=======================>......] - ETA: 0s - loss: 2.7242e-04 - mean_absolute_error: 0.0121126/126 [==============================] - ETA: 0s - loss: 2.6948e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 2ms/step - loss: 2.6948e-04 - mean_absolute_error: 0.0120 - val_loss: 1.7381e-04 - val_mean_absolute_error: 0.0108
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 3.0159e-04 - mean_absolute_error: 0.0137 24/126 [====>.........................] - ETA: 0s - loss: 2.6034e-04 - mean_absolute_error: 0.0118 50/126 [==========>...................] - ETA: 0s - loss: 2.6142e-04 - mean_absolute_error: 0.0119 77/126 [=================>............] - ETA: 0s - loss: 2.5693e-04 - mean_absolute_error: 0.0118103/126 [=======================>......] - ETA: 0s - loss: 2.6029e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 2ms/step - loss: 2.6375e-04 - mean_absolute_error: 0.0120 - val_loss: 1.2098e-04 - val_mean_absolute_error: 0.0085
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 2.5833e-04 - mean_absolute_error: 0.0125 21/126 [====>.........................] - ETA: 0s - loss: 2.0909e-04 - mean_absolute_error: 0.0104 45/126 [=========>....................] - ETA: 0s - loss: 2.3612e-04 - mean_absolute_error: 0.0111 68/126 [===============>..............] - ETA: 0s - loss: 2.3245e-04 - mean_absolute_error: 0.0111 93/126 [=====================>........] - ETA: 0s - loss: 2.3521e-04 - mean_absolute_error: 0.0111119/126 [===========================>..] - ETA: 0s - loss: 2.4591e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 2ms/step - loss: 2.5123e-04 - mean_absolute_error: 0.0114 - val_loss: 1.9653e-04 - val_mean_absolute_error: 0.0112
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 3.3802e-04 - mean_absolute_error: 0.0155 19/126 [===>..........................] - ETA: 0s - loss: 2.3499e-04 - mean_absolute_error: 0.0111 41/126 [========>.....................] - ETA: 0s - loss: 2.5405e-04 - mean_absolute_error: 0.0115 67/126 [==============>...............] - ETA: 0s - loss: 2.4865e-04 - mean_absolute_error: 0.0113 94/126 [=====================>........] - ETA: 0s - loss: 2.3852e-04 - mean_absolute_error: 0.0111120/126 [===========================>..] - ETA: 0s - loss: 2.3749e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 3ms/step - loss: 2.3956e-04 - mean_absolute_error: 0.0112 - val_loss: 1.1456e-04 - val_mean_absolute_error: 0.0085
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 4.7636e-04 - mean_absolute_error: 0.0125 18/126 [===>..........................] - ETA: 0s - loss: 2.6623e-04 - mean_absolute_error: 0.0120 41/126 [========>.....................] - ETA: 0s - loss: 2.8019e-04 - mean_absolute_error: 0.0120 67/126 [==============>...............] - ETA: 0s - loss: 2.6533e-04 - mean_absolute_error: 0.0118 92/126 [====================>.........] - ETA: 0s - loss: 2.7599e-04 - mean_absolute_error: 0.0122116/126 [==========================>...] - ETA: 0s - loss: 2.7048e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 3ms/step - loss: 2.7701e-04 - mean_absolute_error: 0.0124 - val_loss: 3.5379e-04 - val_mean_absolute_error: 0.0162
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 5.7572e-04 - mean_absolute_error: 0.0206 24/126 [====>.........................] - ETA: 0s - loss: 4.3170e-04 - mean_absolute_error: 0.0162 47/126 [==========>...................] - ETA: 0s - loss: 4.1524e-04 - mean_absolute_error: 0.0159 70/126 [===============>..............] - ETA: 0s - loss: 3.5019e-04 - mean_absolute_error: 0.0144 95/126 [=====================>........] - ETA: 0s - loss: 3.3116e-04 - mean_absolute_error: 0.0138117/126 [==========================>...] - ETA: 0s - loss: 3.2073e-04 - mean_absolute_error: 0.0136126/126 [==============================] - 0s 3ms/step - loss: 3.1269e-04 - mean_absolute_error: 0.0134 - val_loss: 2.2195e-04 - val_mean_absolute_error: 0.0124
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 4.3423e-04 - mean_absolute_error: 0.0165 24/126 [====>.........................] - ETA: 0s - loss: 2.1699e-04 - mean_absolute_error: 0.0106 47/126 [==========>...................] - ETA: 0s - loss: 2.3856e-04 - mean_absolute_error: 0.0110 73/126 [================>.............] - ETA: 0s - loss: 2.5633e-04 - mean_absolute_error: 0.0116 99/126 [======================>.......] - ETA: 0s - loss: 2.7179e-04 - mean_absolute_error: 0.0121124/126 [============================>.] - ETA: 0s - loss: 2.6517e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 2ms/step - loss: 2.6454e-04 - mean_absolute_error: 0.0119 - val_loss: 1.3330e-04 - val_mean_absolute_error: 0.0093
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 1.8588e-04 - mean_absolute_error: 0.0106 22/126 [====>.........................] - ETA: 0s - loss: 2.6432e-04 - mean_absolute_error: 0.0120 46/126 [=========>....................] - ETA: 0s - loss: 2.5410e-04 - mean_absolute_error: 0.0119 71/126 [===============>..............] - ETA: 0s - loss: 2.4476e-04 - mean_absolute_error: 0.0116 98/126 [======================>.......] - ETA: 0s - loss: 2.4144e-04 - mean_absolute_error: 0.0114124/126 [============================>.] - ETA: 0s - loss: 2.6854e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 2ms/step - loss: 2.6907e-04 - mean_absolute_error: 0.0120 - val_loss: 1.3218e-04 - val_mean_absolute_error: 0.0093
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.6701e-04 - mean_absolute_error: 0.0101 22/126 [====>.........................] - ETA: 0s - loss: 2.7991e-04 - mean_absolute_error: 0.0119 49/126 [==========>...................] - ETA: 0s - loss: 2.4612e-04 - mean_absolute_error: 0.0112 76/126 [=================>............] - ETA: 0s - loss: 2.4658e-04 - mean_absolute_error: 0.0113102/126 [=======================>......] - ETA: 0s - loss: 2.4639e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.5265e-04 - mean_absolute_error: 0.0116 - val_loss: 2.9053e-04 - val_mean_absolute_error: 0.0146
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 4.4593e-04 - mean_absolute_error: 0.0189 19/126 [===>..........................] - ETA: 0s - loss: 2.9788e-04 - mean_absolute_error: 0.0130 41/126 [========>.....................] - ETA: 0s - loss: 3.1740e-04 - mean_absolute_error: 0.0135 64/126 [==============>...............] - ETA: 0s - loss: 2.9083e-04 - mean_absolute_error: 0.0128 91/126 [====================>.........] - ETA: 0s - loss: 2.7216e-04 - mean_absolute_error: 0.0121117/126 [==========================>...] - ETA: 0s - loss: 2.5803e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 3ms/step - loss: 2.5897e-04 - mean_absolute_error: 0.0118 - val_loss: 3.0294e-04 - val_mean_absolute_error: 0.0148
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 5.2907e-04 - mean_absolute_error: 0.0192 21/126 [====>.........................] - ETA: 0s - loss: 2.3606e-04 - mean_absolute_error: 0.0116 47/126 [==========>...................] - ETA: 0s - loss: 2.8501e-04 - mean_absolute_error: 0.0125 73/126 [================>.............] - ETA: 0s - loss: 2.9310e-04 - mean_absolute_error: 0.0124 99/126 [======================>.......] - ETA: 0s - loss: 2.7874e-04 - mean_absolute_error: 0.0123124/126 [============================>.] - ETA: 0s - loss: 2.6829e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 2ms/step - loss: 2.6796e-04 - mean_absolute_error: 0.0121 - val_loss: 1.0861e-04 - val_mean_absolute_error: 0.0081
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 2.3801e-04 - mean_absolute_error: 0.0121 19/126 [===>..........................] - ETA: 0s - loss: 2.2770e-04 - mean_absolute_error: 0.0111 41/126 [========>.....................] - ETA: 0s - loss: 2.1952e-04 - mean_absolute_error: 0.0108 66/126 [==============>...............] - ETA: 0s - loss: 2.2306e-04 - mean_absolute_error: 0.0109 91/126 [====================>.........] - ETA: 0s - loss: 2.3383e-04 - mean_absolute_error: 0.0112114/126 [==========================>...] - ETA: 0s - loss: 2.4190e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 3ms/step - loss: 2.4021e-04 - mean_absolute_error: 0.0112 - val_loss: 1.0744e-04 - val_mean_absolute_error: 0.0081
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 1.6036e-04 - mean_absolute_error: 0.0094 24/126 [====>.........................] - ETA: 0s - loss: 2.0785e-04 - mean_absolute_error: 0.0105 49/126 [==========>...................] - ETA: 0s - loss: 2.3248e-04 - mean_absolute_error: 0.0109 74/126 [================>.............] - ETA: 0s - loss: 2.3774e-04 - mean_absolute_error: 0.0111100/126 [======================>.......] - ETA: 0s - loss: 2.4670e-04 - mean_absolute_error: 0.0114126/126 [==============================] - ETA: 0s - loss: 2.6180e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 2ms/step - loss: 2.6180e-04 - mean_absolute_error: 0.0119 - val_loss: 3.5996e-04 - val_mean_absolute_error: 0.0164
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 2.3367e-04 - mean_absolute_error: 0.0126 18/126 [===>..........................] - ETA: 0s - loss: 4.8607e-04 - mean_absolute_error: 0.0177 43/126 [=========>....................] - ETA: 0s - loss: 3.3692e-04 - mean_absolute_error: 0.0140 68/126 [===============>..............] - ETA: 0s - loss: 3.0023e-04 - mean_absolute_error: 0.0128 94/126 [=====================>........] - ETA: 0s - loss: 2.7622e-04 - mean_absolute_error: 0.0122119/126 [===========================>..] - ETA: 0s - loss: 2.8058e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 2ms/step - loss: 2.7697e-04 - mean_absolute_error: 0.0122 - val_loss: 1.8674e-04 - val_mean_absolute_error: 0.0110
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 3.5117e-04 - mean_absolute_error: 0.0147 23/126 [====>.........................] - ETA: 0s - loss: 2.1830e-04 - mean_absolute_error: 0.0109 48/126 [==========>...................] - ETA: 0s - loss: 2.2515e-04 - mean_absolute_error: 0.0113 73/126 [================>.............] - ETA: 0s - loss: 2.6249e-04 - mean_absolute_error: 0.0122 98/126 [======================>.......] - ETA: 0s - loss: 2.5855e-04 - mean_absolute_error: 0.0119124/126 [============================>.] - ETA: 0s - loss: 2.6851e-04 - mean_absolute_error: 0.0120126/126 [==============================] - 0s 2ms/step - loss: 2.6708e-04 - mean_absolute_error: 0.0120 - val_loss: 1.2563e-04 - val_mean_absolute_error: 0.0087
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.9988e-04 - mean_absolute_error: 0.0104 23/126 [====>.........................] - ETA: 0s - loss: 2.2284e-04 - mean_absolute_error: 0.0108 49/126 [==========>...................] - ETA: 0s - loss: 2.3912e-04 - mean_absolute_error: 0.0111 74/126 [================>.............] - ETA: 0s - loss: 2.7126e-04 - mean_absolute_error: 0.0120100/126 [======================>.......] - ETA: 0s - loss: 2.6181e-04 - mean_absolute_error: 0.0119125/126 [============================>.] - ETA: 0s - loss: 2.5150e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.5087e-04 - mean_absolute_error: 0.0116 - val_loss: 1.0684e-04 - val_mean_absolute_error: 0.0081
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 1.6719e-04 - mean_absolute_error: 0.0099 17/126 [===>..........................] - ETA: 0s - loss: 2.1443e-04 - mean_absolute_error: 0.0111 39/126 [========>.....................] - ETA: 0s - loss: 2.6791e-04 - mean_absolute_error: 0.0122 64/126 [==============>...............] - ETA: 0s - loss: 2.6272e-04 - mean_absolute_error: 0.0121 90/126 [====================>.........] - ETA: 0s - loss: 2.5807e-04 - mean_absolute_error: 0.0119117/126 [==========================>...] - ETA: 0s - loss: 2.8366e-04 - mean_absolute_error: 0.0124126/126 [==============================] - 0s 3ms/step - loss: 2.9372e-04 - mean_absolute_error: 0.0127 - val_loss: 2.1242e-04 - val_mean_absolute_error: 0.0121
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 2.5542e-04 - mean_absolute_error: 0.0116 20/126 [===>..........................] - ETA: 0s - loss: 2.4959e-04 - mean_absolute_error: 0.0124 41/126 [========>.....................] - ETA: 0s - loss: 2.3057e-04 - mean_absolute_error: 0.0116 64/126 [==============>...............] - ETA: 0s - loss: 2.3925e-04 - mean_absolute_error: 0.0117 85/126 [===================>..........] - ETA: 0s - loss: 2.6844e-04 - mean_absolute_error: 0.0122111/126 [=========================>....] - ETA: 0s - loss: 2.5724e-04 - mean_absolute_error: 0.0119126/126 [==============================] - 0s 3ms/step - loss: 2.5531e-04 - mean_absolute_error: 0.0118 - val_loss: 2.0300e-04 - val_mean_absolute_error: 0.0116
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 2.1412e-04 - mean_absolute_error: 0.0102 19/126 [===>..........................] - ETA: 0s - loss: 2.3681e-04 - mean_absolute_error: 0.0111 45/126 [=========>....................] - ETA: 0s - loss: 2.2398e-04 - mean_absolute_error: 0.0110 69/126 [===============>..............] - ETA: 0s - loss: 2.1813e-04 - mean_absolute_error: 0.0109 95/126 [=====================>........] - ETA: 0s - loss: 2.5846e-04 - mean_absolute_error: 0.0118120/126 [===========================>..] - ETA: 0s - loss: 2.7225e-04 - mean_absolute_error: 0.0121126/126 [==============================] - 0s 3ms/step - loss: 2.7144e-04 - mean_absolute_error: 0.0121 - val_loss: 1.0595e-04 - val_mean_absolute_error: 0.0080
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 1.2983e-04 - mean_absolute_error: 0.0065 21/126 [====>.........................] - ETA: 0s - loss: 2.1323e-04 - mean_absolute_error: 0.0103 46/126 [=========>....................] - ETA: 0s - loss: 2.1513e-04 - mean_absolute_error: 0.0105 72/126 [================>.............] - ETA: 0s - loss: 2.2683e-04 - mean_absolute_error: 0.0108 98/126 [======================>.......] - ETA: 0s - loss: 2.2524e-04 - mean_absolute_error: 0.0109124/126 [============================>.] - ETA: 0s - loss: 2.3082e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 2ms/step - loss: 2.3040e-04 - mean_absolute_error: 0.0110 - val_loss: 1.0885e-04 - val_mean_absolute_error: 0.0081
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.2079e-04 - mean_absolute_error: 0.0081 20/126 [===>..........................] - ETA: 0s - loss: 2.5034e-04 - mean_absolute_error: 0.0110 44/126 [=========>....................] - ETA: 0s - loss: 2.3974e-04 - mean_absolute_error: 0.0112 70/126 [===============>..............] - ETA: 0s - loss: 2.3126e-04 - mean_absolute_error: 0.0110 93/126 [=====================>........] - ETA: 0s - loss: 2.3826e-04 - mean_absolute_error: 0.0112117/126 [==========================>...] - ETA: 0s - loss: 2.4061e-04 - mean_absolute_error: 0.0113126/126 [==============================] - 0s 3ms/step - loss: 2.3557e-04 - mean_absolute_error: 0.0112 - val_loss: 1.1058e-04 - val_mean_absolute_error: 0.0084
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 1.3420e-04 - mean_absolute_error: 0.0088 25/126 [====>.........................] - ETA: 0s - loss: 1.9284e-04 - mean_absolute_error: 0.0103 49/126 [==========>...................] - ETA: 0s - loss: 2.4988e-04 - mean_absolute_error: 0.0113 75/126 [================>.............] - ETA: 0s - loss: 2.5151e-04 - mean_absolute_error: 0.0115101/126 [=======================>......] - ETA: 0s - loss: 2.3763e-04 - mean_absolute_error: 0.0112126/126 [==============================] - ETA: 0s - loss: 2.3930e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 2ms/step - loss: 2.3930e-04 - mean_absolute_error: 0.0112 - val_loss: 1.9835e-04 - val_mean_absolute_error: 0.0117
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 6.6033e-04 - mean_absolute_error: 0.0165 23/126 [====>.........................] - ETA: 0s - loss: 2.1518e-04 - mean_absolute_error: 0.0108 46/126 [=========>....................] - ETA: 0s - loss: 2.3869e-04 - mean_absolute_error: 0.0114 70/126 [===============>..............] - ETA: 0s - loss: 2.2744e-04 - mean_absolute_error: 0.0111 94/126 [=====================>........] - ETA: 0s - loss: 2.2966e-04 - mean_absolute_error: 0.0110120/126 [===========================>..] - ETA: 0s - loss: 2.4533e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 2ms/step - loss: 2.4368e-04 - mean_absolute_error: 0.0114 - val_loss: 1.4197e-04 - val_mean_absolute_error: 0.0097
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 1.9042e-04 - mean_absolute_error: 0.0116 16/126 [==>...........................] - ETA: 0s - loss: 2.2210e-04 - mean_absolute_error: 0.0108 32/126 [======>.......................] - ETA: 0s - loss: 2.1923e-04 - mean_absolute_error: 0.0107 55/126 [============>.................] - ETA: 0s - loss: 2.0690e-04 - mean_absolute_error: 0.0105 72/126 [================>.............] - ETA: 0s - loss: 2.0756e-04 - mean_absolute_error: 0.0105 94/126 [=====================>........] - ETA: 0s - loss: 2.1192e-04 - mean_absolute_error: 0.0106119/126 [===========================>..] - ETA: 0s - loss: 2.2419e-04 - mean_absolute_error: 0.0108126/126 [==============================] - 0s 3ms/step - loss: 2.2321e-04 - mean_absolute_error: 0.0108 - val_loss: 1.0306e-04 - val_mean_absolute_error: 0.0079
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 6.5235e-04 - mean_absolute_error: 0.0139 24/126 [====>.........................] - ETA: 0s - loss: 2.4204e-04 - mean_absolute_error: 0.0116 48/126 [==========>...................] - ETA: 0s - loss: 2.3998e-04 - mean_absolute_error: 0.0113 73/126 [================>.............] - ETA: 0s - loss: 2.4516e-04 - mean_absolute_error: 0.0114 98/126 [======================>.......] - ETA: 0s - loss: 2.4079e-04 - mean_absolute_error: 0.0114122/126 [============================>.] - ETA: 0s - loss: 2.4927e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.4833e-04 - mean_absolute_error: 0.0116 - val_loss: 1.3088e-04 - val_mean_absolute_error: 0.0089
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 1.8892e-04 - mean_absolute_error: 0.0114 24/126 [====>.........................] - ETA: 0s - loss: 2.8041e-04 - mean_absolute_error: 0.0127 50/126 [==========>...................] - ETA: 0s - loss: 2.6351e-04 - mean_absolute_error: 0.0120 73/126 [================>.............] - ETA: 0s - loss: 2.5270e-04 - mean_absolute_error: 0.0116 99/126 [======================>.......] - ETA: 0s - loss: 2.5127e-04 - mean_absolute_error: 0.0116125/126 [============================>.] - ETA: 0s - loss: 2.5080e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.5085e-04 - mean_absolute_error: 0.0116 - val_loss: 1.0999e-04 - val_mean_absolute_error: 0.0083
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 8.1109e-05 - mean_absolute_error: 0.0071 21/126 [====>.........................] - ETA: 0s - loss: 2.7615e-04 - mean_absolute_error: 0.0124 47/126 [==========>...................] - ETA: 0s - loss: 2.6613e-04 - mean_absolute_error: 0.0124 72/126 [================>.............] - ETA: 0s - loss: 2.5107e-04 - mean_absolute_error: 0.0121 98/126 [======================>.......] - ETA: 0s - loss: 2.6325e-04 - mean_absolute_error: 0.0121124/126 [============================>.] - ETA: 0s - loss: 2.6871e-04 - mean_absolute_error: 0.0122126/126 [==============================] - 0s 2ms/step - loss: 2.6821e-04 - mean_absolute_error: 0.0122 - val_loss: 2.7796e-04 - val_mean_absolute_error: 0.0141
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 4.3691e-04 - mean_absolute_error: 0.0168 22/126 [====>.........................] - ETA: 0s - loss: 2.1754e-04 - mean_absolute_error: 0.0114 46/126 [=========>....................] - ETA: 0s - loss: 2.4732e-04 - mean_absolute_error: 0.0117 71/126 [===============>..............] - ETA: 0s - loss: 2.6288e-04 - mean_absolute_error: 0.0120 97/126 [======================>.......] - ETA: 0s - loss: 2.9385e-04 - mean_absolute_error: 0.0128123/126 [============================>.] - ETA: 0s - loss: 2.8900e-04 - mean_absolute_error: 0.0128126/126 [==============================] - 0s 2ms/step - loss: 2.8910e-04 - mean_absolute_error: 0.0128 - val_loss: 1.3423e-04 - val_mean_absolute_error: 0.0094
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 2.2146e-04 - mean_absolute_error: 0.0125 22/126 [====>.........................] - ETA: 0s - loss: 2.7222e-04 - mean_absolute_error: 0.0113 47/126 [==========>...................] - ETA: 0s - loss: 3.0686e-04 - mean_absolute_error: 0.0126 72/126 [================>.............] - ETA: 0s - loss: 2.7007e-04 - mean_absolute_error: 0.0118 97/126 [======================>.......] - ETA: 0s - loss: 2.4252e-04 - mean_absolute_error: 0.0113121/126 [===========================>..] - ETA: 0s - loss: 2.4873e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.5241e-04 - mean_absolute_error: 0.0116 - val_loss: 1.5760e-04 - val_mean_absolute_error: 0.0103
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 2.1609e-04 - mean_absolute_error: 0.0128 24/126 [====>.........................] - ETA: 0s - loss: 1.9336e-04 - mean_absolute_error: 0.0104 51/126 [===========>..................] - ETA: 0s - loss: 2.2075e-04 - mean_absolute_error: 0.0114 77/126 [=================>............] - ETA: 0s - loss: 2.3616e-04 - mean_absolute_error: 0.0117103/126 [=======================>......] - ETA: 0s - loss: 2.2345e-04 - mean_absolute_error: 0.0112126/126 [==============================] - 0s 2ms/step - loss: 2.3158e-04 - mean_absolute_error: 0.0111 - val_loss: 1.0663e-04 - val_mean_absolute_error: 0.0082
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 7.9744e-05 - mean_absolute_error: 0.0065 18/126 [===>..........................] - ETA: 0s - loss: 2.1251e-04 - mean_absolute_error: 0.0108 41/126 [========>.....................] - ETA: 0s - loss: 2.2119e-04 - mean_absolute_error: 0.0109 66/126 [==============>...............] - ETA: 0s - loss: 2.2424e-04 - mean_absolute_error: 0.0109 91/126 [====================>.........] - ETA: 0s - loss: 2.3834e-04 - mean_absolute_error: 0.0111117/126 [==========================>...] - ETA: 0s - loss: 2.2564e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 3ms/step - loss: 2.2335e-04 - mean_absolute_error: 0.0108 - val_loss: 1.0385e-04 - val_mean_absolute_error: 0.0079
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 2.1335e-04 - mean_absolute_error: 0.0098 23/126 [====>.........................] - ETA: 0s - loss: 2.8342e-04 - mean_absolute_error: 0.0123 46/126 [=========>....................] - ETA: 0s - loss: 2.6053e-04 - mean_absolute_error: 0.0120 71/126 [===============>..............] - ETA: 0s - loss: 2.4209e-04 - mean_absolute_error: 0.0114 96/126 [=====================>........] - ETA: 0s - loss: 2.3501e-04 - mean_absolute_error: 0.0112122/126 [============================>.] - ETA: 0s - loss: 2.3088e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 2ms/step - loss: 2.3054e-04 - mean_absolute_error: 0.0110 - val_loss: 9.9197e-05 - val_mean_absolute_error: 0.0077
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 3.5553e-04 - mean_absolute_error: 0.0119 23/126 [====>.........................] - ETA: 0s - loss: 2.6057e-04 - mean_absolute_error: 0.0117 49/126 [==========>...................] - ETA: 0s - loss: 2.2489e-04 - mean_absolute_error: 0.0112 75/126 [================>.............] - ETA: 0s - loss: 2.3272e-04 - mean_absolute_error: 0.0112102/126 [=======================>......] - ETA: 0s - loss: 2.2662e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 2ms/step - loss: 2.3147e-04 - mean_absolute_error: 0.0111 - val_loss: 1.4046e-04 - val_mean_absolute_error: 0.0094
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 4.1265e-04 - mean_absolute_error: 0.0131 23/126 [====>.........................] - ETA: 0s - loss: 2.4754e-04 - mean_absolute_error: 0.0119 49/126 [==========>...................] - ETA: 0s - loss: 2.7828e-04 - mean_absolute_error: 0.0122 74/126 [================>.............] - ETA: 0s - loss: 2.5681e-04 - mean_absolute_error: 0.0115 98/126 [======================>.......] - ETA: 0s - loss: 2.3238e-04 - mean_absolute_error: 0.0110123/126 [============================>.] - ETA: 0s - loss: 2.2339e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 2ms/step - loss: 2.2227e-04 - mean_absolute_error: 0.0109 - val_loss: 3.5180e-04 - val_mean_absolute_error: 0.0165
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 3.9703e-04 - mean_absolute_error: 0.0178 24/126 [====>.........................] - ETA: 0s - loss: 3.1124e-04 - mean_absolute_error: 0.0139 50/126 [==========>...................] - ETA: 0s - loss: 2.7457e-04 - mean_absolute_error: 0.0129 76/126 [=================>............] - ETA: 0s - loss: 2.5750e-04 - mean_absolute_error: 0.0121100/126 [======================>.......] - ETA: 0s - loss: 2.5476e-04 - mean_absolute_error: 0.0119126/126 [==============================] - ETA: 0s - loss: 2.5352e-04 - mean_absolute_error: 0.0118126/126 [==============================] - 0s 2ms/step - loss: 2.5352e-04 - mean_absolute_error: 0.0118 - val_loss: 1.2184e-04 - val_mean_absolute_error: 0.0086
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 1.5119e-04 - mean_absolute_error: 0.0093 25/126 [====>.........................] - ETA: 0s - loss: 1.9235e-04 - mean_absolute_error: 0.0101 51/126 [===========>..................] - ETA: 0s - loss: 2.1773e-04 - mean_absolute_error: 0.0104 77/126 [=================>............] - ETA: 0s - loss: 2.3408e-04 - mean_absolute_error: 0.0108102/126 [=======================>......] - ETA: 0s - loss: 2.3330e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 2ms/step - loss: 2.2390e-04 - mean_absolute_error: 0.0108 - val_loss: 9.9084e-05 - val_mean_absolute_error: 0.0077
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.9249e-04 - mean_absolute_error: 0.0096 22/126 [====>.........................] - ETA: 0s - loss: 2.2419e-04 - mean_absolute_error: 0.0108 48/126 [==========>...................] - ETA: 0s - loss: 2.1963e-04 - mean_absolute_error: 0.0106 74/126 [================>.............] - ETA: 0s - loss: 2.3345e-04 - mean_absolute_error: 0.0111 99/126 [======================>.......] - ETA: 0s - loss: 2.2772e-04 - mean_absolute_error: 0.0109125/126 [============================>.] - ETA: 0s - loss: 2.1888e-04 - mean_absolute_error: 0.0107126/126 [==============================] - 0s 2ms/step - loss: 2.1886e-04 - mean_absolute_error: 0.0107 - val_loss: 1.0958e-04 - val_mean_absolute_error: 0.0081
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 1.9375e-04 - mean_absolute_error: 0.0109 23/126 [====>.........................] - ETA: 0s - loss: 2.3981e-04 - mean_absolute_error: 0.0110 41/126 [========>.....................] - ETA: 0s - loss: 2.6175e-04 - mean_absolute_error: 0.0118 62/126 [=============>................] - ETA: 0s - loss: 2.4995e-04 - mean_absolute_error: 0.0116 88/126 [===================>..........] - ETA: 0s - loss: 2.4018e-04 - mean_absolute_error: 0.0113114/126 [==========================>...] - ETA: 0s - loss: 2.2870e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 3ms/step - loss: 2.2872e-04 - mean_absolute_error: 0.0110 - val_loss: 1.2682e-04 - val_mean_absolute_error: 0.0091
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 2.5006e-04 - mean_absolute_error: 0.0119 24/126 [====>.........................] - ETA: 0s - loss: 2.6547e-04 - mean_absolute_error: 0.0112 48/126 [==========>...................] - ETA: 0s - loss: 2.4768e-04 - mean_absolute_error: 0.0111 71/126 [===============>..............] - ETA: 0s - loss: 2.3562e-04 - mean_absolute_error: 0.0110 95/126 [=====================>........] - ETA: 0s - loss: 2.2229e-04 - mean_absolute_error: 0.0108120/126 [===========================>..] - ETA: 0s - loss: 2.1623e-04 - mean_absolute_error: 0.0107126/126 [==============================] - 0s 2ms/step - loss: 2.1394e-04 - mean_absolute_error: 0.0107 - val_loss: 9.6482e-05 - val_mean_absolute_error: 0.0077
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 1.2709e-04 - mean_absolute_error: 0.0086 24/126 [====>.........................] - ETA: 0s - loss: 2.5060e-04 - mean_absolute_error: 0.0113 50/126 [==========>...................] - ETA: 0s - loss: 2.1703e-04 - mean_absolute_error: 0.0106 75/126 [================>.............] - ETA: 0s - loss: 2.2539e-04 - mean_absolute_error: 0.0109100/126 [======================>.......] - ETA: 0s - loss: 2.1750e-04 - mean_absolute_error: 0.0108126/126 [==============================] - 0s 2ms/step - loss: 2.1382e-04 - mean_absolute_error: 0.0107 - val_loss: 1.0223e-04 - val_mean_absolute_error: 0.0078
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 1.8845e-04 - mean_absolute_error: 0.0092 20/126 [===>..........................] - ETA: 0s - loss: 2.0706e-04 - mean_absolute_error: 0.0105 42/126 [=========>....................] - ETA: 0s - loss: 2.1333e-04 - mean_absolute_error: 0.0108 58/126 [============>.................] - ETA: 0s - loss: 2.1692e-04 - mean_absolute_error: 0.0109 77/126 [=================>............] - ETA: 0s - loss: 2.1266e-04 - mean_absolute_error: 0.0107101/126 [=======================>......] - ETA: 0s - loss: 2.2598e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 3ms/step - loss: 2.1549e-04 - mean_absolute_error: 0.0106 - val_loss: 1.1858e-04 - val_mean_absolute_error: 0.0085
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 1.4256e-04 - mean_absolute_error: 0.0086 23/126 [====>.........................] - ETA: 0s - loss: 2.6196e-04 - mean_absolute_error: 0.0116 47/126 [==========>...................] - ETA: 0s - loss: 2.2513e-04 - mean_absolute_error: 0.0107 72/126 [================>.............] - ETA: 0s - loss: 2.2536e-04 - mean_absolute_error: 0.0109 96/126 [=====================>........] - ETA: 0s - loss: 2.1699e-04 - mean_absolute_error: 0.0107122/126 [============================>.] - ETA: 0s - loss: 2.1236e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 2ms/step - loss: 2.1724e-04 - mean_absolute_error: 0.0107 - val_loss: 1.0386e-04 - val_mean_absolute_error: 0.0081
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 1.4077e-04 - mean_absolute_error: 0.0093 24/126 [====>.........................] - ETA: 0s - loss: 3.0135e-04 - mean_absolute_error: 0.0130 51/126 [===========>..................] - ETA: 0s - loss: 2.6731e-04 - mean_absolute_error: 0.0123 77/126 [=================>............] - ETA: 0s - loss: 2.7175e-04 - mean_absolute_error: 0.0121101/126 [=======================>......] - ETA: 0s - loss: 2.5938e-04 - mean_absolute_error: 0.0119125/126 [============================>.] - ETA: 0s - loss: 2.5004e-04 - mean_absolute_error: 0.0117126/126 [==============================] - 0s 2ms/step - loss: 2.4961e-04 - mean_absolute_error: 0.0117 - val_loss: 1.7303e-04 - val_mean_absolute_error: 0.0106
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 2.5307e-04 - mean_absolute_error: 0.0118 24/126 [====>.........................] - ETA: 0s - loss: 2.0331e-04 - mean_absolute_error: 0.0107 48/126 [==========>...................] - ETA: 0s - loss: 2.4779e-04 - mean_absolute_error: 0.0118 71/126 [===============>..............] - ETA: 0s - loss: 2.4759e-04 - mean_absolute_error: 0.0118 93/126 [=====================>........] - ETA: 0s - loss: 2.2978e-04 - mean_absolute_error: 0.0112116/126 [==========================>...] - ETA: 0s - loss: 2.3149e-04 - mean_absolute_error: 0.0114126/126 [==============================] - 0s 3ms/step - loss: 2.4071e-04 - mean_absolute_error: 0.0114 - val_loss: 1.6821e-04 - val_mean_absolute_error: 0.0107
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 1.1232e-04 - mean_absolute_error: 0.0092 23/126 [====>.........................] - ETA: 0s - loss: 2.3134e-04 - mean_absolute_error: 0.0111 46/126 [=========>....................] - ETA: 0s - loss: 2.2997e-04 - mean_absolute_error: 0.0112 72/126 [================>.............] - ETA: 0s - loss: 2.5116e-04 - mean_absolute_error: 0.0118 98/126 [======================>.......] - ETA: 0s - loss: 2.4467e-04 - mean_absolute_error: 0.0117123/126 [============================>.] - ETA: 0s - loss: 2.4166e-04 - mean_absolute_error: 0.0115126/126 [==============================] - 0s 2ms/step - loss: 2.4114e-04 - mean_absolute_error: 0.0115 - val_loss: 1.1008e-04 - val_mean_absolute_error: 0.0082
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 1.0842e-04 - mean_absolute_error: 0.0082 22/126 [====>.........................] - ETA: 0s - loss: 2.4219e-04 - mean_absolute_error: 0.0116 46/126 [=========>....................] - ETA: 0s - loss: 2.6360e-04 - mean_absolute_error: 0.0123 70/126 [===============>..............] - ETA: 0s - loss: 2.5793e-04 - mean_absolute_error: 0.0121 96/126 [=====================>........] - ETA: 0s - loss: 2.4451e-04 - mean_absolute_error: 0.0116121/126 [===========================>..] - ETA: 0s - loss: 2.4388e-04 - mean_absolute_error: 0.0116126/126 [==============================] - 0s 2ms/step - loss: 2.3984e-04 - mean_absolute_error: 0.0115 - val_loss: 9.7385e-05 - val_mean_absolute_error: 0.0076
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 1.8696e-04 - mean_absolute_error: 0.0111 20/126 [===>..........................] - ETA: 0s - loss: 1.7116e-04 - mean_absolute_error: 0.0099 45/126 [=========>....................] - ETA: 0s - loss: 1.9666e-04 - mean_absolute_error: 0.0103 70/126 [===============>..............] - ETA: 0s - loss: 1.9826e-04 - mean_absolute_error: 0.0103 95/126 [=====================>........] - ETA: 0s - loss: 1.9600e-04 - mean_absolute_error: 0.0102121/126 [===========================>..] - ETA: 0s - loss: 2.0146e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 2ms/step - loss: 2.0193e-04 - mean_absolute_error: 0.0103 - val_loss: 1.1187e-04 - val_mean_absolute_error: 0.0083
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.2479e-04 - mean_absolute_error: 0.0093 17/126 [===>..........................] - ETA: 0s - loss: 1.8412e-04 - mean_absolute_error: 0.0100 38/126 [========>.....................] - ETA: 0s - loss: 1.8093e-04 - mean_absolute_error: 0.0098 58/126 [============>.................] - ETA: 0s - loss: 1.7648e-04 - mean_absolute_error: 0.0098 83/126 [==================>...........] - ETA: 0s - loss: 1.9101e-04 - mean_absolute_error: 0.0101108/126 [========================>.....] - ETA: 0s - loss: 2.0045e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 3ms/step - loss: 1.9974e-04 - mean_absolute_error: 0.0103 - val_loss: 1.0233e-04 - val_mean_absolute_error: 0.0080
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 2.2467e-04 - mean_absolute_error: 0.0117 22/126 [====>.........................] - ETA: 0s - loss: 2.6646e-04 - mean_absolute_error: 0.0117 48/126 [==========>...................] - ETA: 0s - loss: 2.3409e-04 - mean_absolute_error: 0.0110 74/126 [================>.............] - ETA: 0s - loss: 2.2751e-04 - mean_absolute_error: 0.0109 98/126 [======================>.......] - ETA: 0s - loss: 2.2677e-04 - mean_absolute_error: 0.0108124/126 [============================>.] - ETA: 0s - loss: 2.2070e-04 - mean_absolute_error: 0.0108126/126 [==============================] - 0s 2ms/step - loss: 2.1977e-04 - mean_absolute_error: 0.0108 - val_loss: 9.1649e-05 - val_mean_absolute_error: 0.0074
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 2.2308e-04 - mean_absolute_error: 0.0100 24/126 [====>.........................] - ETA: 0s - loss: 2.0975e-04 - mean_absolute_error: 0.0104 48/126 [==========>...................] - ETA: 0s - loss: 2.0315e-04 - mean_absolute_error: 0.0104 74/126 [================>.............] - ETA: 0s - loss: 2.2524e-04 - mean_absolute_error: 0.0110100/126 [======================>.......] - ETA: 0s - loss: 2.2561e-04 - mean_absolute_error: 0.0110126/126 [==============================] - 0s 2ms/step - loss: 2.2047e-04 - mean_absolute_error: 0.0109 - val_loss: 1.3585e-04 - val_mean_absolute_error: 0.0095
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 1.5965e-04 - mean_absolute_error: 0.0097 23/126 [====>.........................] - ETA: 0s - loss: 2.1880e-04 - mean_absolute_error: 0.0102 48/126 [==========>...................] - ETA: 0s - loss: 2.0390e-04 - mean_absolute_error: 0.0102 72/126 [================>.............] - ETA: 0s - loss: 2.2108e-04 - mean_absolute_error: 0.0109 97/126 [======================>.......] - ETA: 0s - loss: 2.1843e-04 - mean_absolute_error: 0.0109124/126 [============================>.] - ETA: 0s - loss: 2.1990e-04 - mean_absolute_error: 0.0109126/126 [==============================] - 0s 2ms/step - loss: 2.2370e-04 - mean_absolute_error: 0.0110 - val_loss: 3.0665e-04 - val_mean_absolute_error: 0.0153
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 4.5121e-04 - mean_absolute_error: 0.0177 25/126 [====>.........................] - ETA: 0s - loss: 2.5056e-04 - mean_absolute_error: 0.0117 51/126 [===========>..................] - ETA: 0s - loss: 2.5833e-04 - mean_absolute_error: 0.0118 78/126 [=================>............] - ETA: 0s - loss: 2.3902e-04 - mean_absolute_error: 0.0112104/126 [=======================>......] - ETA: 0s - loss: 2.2126e-04 - mean_absolute_error: 0.0108126/126 [==============================] - 0s 2ms/step - loss: 2.1568e-04 - mean_absolute_error: 0.0107 - val_loss: 1.7820e-04 - val_mean_absolute_error: 0.0111
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 2.6693e-04 - mean_absolute_error: 0.0134 24/126 [====>.........................] - ETA: 0s - loss: 1.9607e-04 - mean_absolute_error: 0.0101 49/126 [==========>...................] - ETA: 0s - loss: 1.9958e-04 - mean_absolute_error: 0.0102 75/126 [================>.............] - ETA: 0s - loss: 2.0982e-04 - mean_absolute_error: 0.0105101/126 [=======================>......] - ETA: 0s - loss: 2.0529e-04 - mean_absolute_error: 0.0104126/126 [==============================] - ETA: 0s - loss: 1.9739e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 2ms/step - loss: 1.9739e-04 - mean_absolute_error: 0.0102 - val_loss: 9.5896e-05 - val_mean_absolute_error: 0.0076
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 5.6063e-04 - mean_absolute_error: 0.0115 24/126 [====>.........................] - ETA: 0s - loss: 2.0560e-04 - mean_absolute_error: 0.0102 51/126 [===========>..................] - ETA: 0s - loss: 2.5063e-04 - mean_absolute_error: 0.0113 77/126 [=================>............] - ETA: 0s - loss: 2.2421e-04 - mean_absolute_error: 0.0109103/126 [=======================>......] - ETA: 0s - loss: 2.2084e-04 - mean_absolute_error: 0.0108126/126 [==============================] - ETA: 0s - loss: 2.1275e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 2ms/step - loss: 2.1275e-04 - mean_absolute_error: 0.0106 - val_loss: 2.1291e-04 - val_mean_absolute_error: 0.0122
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 2.4141e-04 - mean_absolute_error: 0.0124 24/126 [====>.........................] - ETA: 0s - loss: 2.2309e-04 - mean_absolute_error: 0.0112 50/126 [==========>...................] - ETA: 0s - loss: 1.9902e-04 - mean_absolute_error: 0.0105 76/126 [=================>............] - ETA: 0s - loss: 1.9082e-04 - mean_absolute_error: 0.0102102/126 [=======================>......] - ETA: 0s - loss: 1.9921e-04 - mean_absolute_error: 0.0103126/126 [==============================] - 0s 2ms/step - loss: 2.0566e-04 - mean_absolute_error: 0.0105 - val_loss: 4.4580e-04 - val_mean_absolute_error: 0.0192
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 9.4294e-04 - mean_absolute_error: 0.0250 22/126 [====>.........................] - ETA: 0s - loss: 2.2742e-04 - mean_absolute_error: 0.0108 47/126 [==========>...................] - ETA: 0s - loss: 2.1664e-04 - mean_absolute_error: 0.0106 71/126 [===============>..............] - ETA: 0s - loss: 2.1610e-04 - mean_absolute_error: 0.0107 97/126 [======================>.......] - ETA: 0s - loss: 2.0550e-04 - mean_absolute_error: 0.0105121/126 [===========================>..] - ETA: 0s - loss: 2.0192e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 2ms/step - loss: 2.0394e-04 - mean_absolute_error: 0.0104 - val_loss: 1.1527e-04 - val_mean_absolute_error: 0.0085
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 1.1560e-04 - mean_absolute_error: 0.0083 24/126 [====>.........................] - ETA: 0s - loss: 1.9993e-04 - mean_absolute_error: 0.0097 50/126 [==========>...................] - ETA: 0s - loss: 2.1115e-04 - mean_absolute_error: 0.0105 75/126 [================>.............] - ETA: 0s - loss: 2.2179e-04 - mean_absolute_error: 0.0109 98/126 [======================>.......] - ETA: 0s - loss: 2.0829e-04 - mean_absolute_error: 0.0105122/126 [============================>.] - ETA: 0s - loss: 1.9940e-04 - mean_absolute_error: 0.0103126/126 [==============================] - 0s 2ms/step - loss: 1.9776e-04 - mean_absolute_error: 0.0103 - val_loss: 8.8274e-05 - val_mean_absolute_error: 0.0071
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 9.4980e-05 - mean_absolute_error: 0.0073 22/126 [====>.........................] - ETA: 0s - loss: 1.7417e-04 - mean_absolute_error: 0.0101 48/126 [==========>...................] - ETA: 0s - loss: 1.6122e-04 - mean_absolute_error: 0.0095 74/126 [================>.............] - ETA: 0s - loss: 1.6734e-04 - mean_absolute_error: 0.0096100/126 [======================>.......] - ETA: 0s - loss: 1.7824e-04 - mean_absolute_error: 0.0099125/126 [============================>.] - ETA: 0s - loss: 1.9275e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 2ms/step - loss: 1.9577e-04 - mean_absolute_error: 0.0101 - val_loss: 1.1449e-04 - val_mean_absolute_error: 0.0087
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 1.9072e-04 - mean_absolute_error: 0.0107 20/126 [===>..........................] - ETA: 0s - loss: 1.7613e-04 - mean_absolute_error: 0.0096 45/126 [=========>....................] - ETA: 0s - loss: 1.7398e-04 - mean_absolute_error: 0.0098 72/126 [================>.............] - ETA: 0s - loss: 1.9035e-04 - mean_absolute_error: 0.0099 97/126 [======================>.......] - ETA: 0s - loss: 1.8600e-04 - mean_absolute_error: 0.0098122/126 [============================>.] - ETA: 0s - loss: 1.8369e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 2ms/step - loss: 1.8571e-04 - mean_absolute_error: 0.0098 - val_loss: 8.8168e-05 - val_mean_absolute_error: 0.0072

<keras.src.callbacks.History at 0x28ed97476d0>

After the training and fitting of the Machine Learning model for Austrailia, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Austrailia with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
austrailia_train_pred = austrailia_model.predict(X_austrailia_train).flatten()

plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4)
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Training Set Predictions vs. Observations")
plt.show()

austrailia_val_pred = austrailia_model.predict(X_austrailia_val).flatten()

plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Validation Set Predictions vs. Observations")
plt.show()

austrailia_test_pred = austrailia_model.predict(X_austrailia_test).flatten()

plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Austrailia - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 38s 36/126 [=======>......................] - ETA: 0s  70/126 [===============>..............] - ETA: 0s107/126 [========================>.....] - ETA: 0s126/126 [==============================] - 0s 1ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Austrailia’s international currency rate with the United States.

```{python}
# Plotting Austrailia's observational (reference) data with the predictions of 
# its Machine Learning Model (as a way to visually inspect the effectiveness of 
# the model) 
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4)
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1)
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4)
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1)
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4)
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations")
plt.show()
```

Once Austraila’s data was completely trained and visualized, I worked on Canada’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Canada’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting Canada's data into train, test, and validation sets on 3 mediums: 
# the X-axis, the y-axis, and the indices (represented by dates)
dates_canada_train, X_canada_train, y_canada_train = dates_canada[:percentile_80], X_canada[:percentile_80], y_canada[:percentile_80]
dates_canada_val, X_canada_val, y_canada_val = dates_canada[percentile_80:percentile_90], X_canada[percentile_80:percentile_90], y_canada[percentile_80:percentile_90]
dates_canada_test, X_canada_test, y_canada_test = dates_canada[percentile_90:], X_canada[percentile_90:], y_canada[percentile_90:]

plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Canada's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Canada
canada_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

canada_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

canada_model.fit(X_canada_train, y_canada_train, validation_data=(X_canada_val, y_canada_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:30 - loss: 1.3642 - mean_absolute_error: 1.1553 19/126 [===>..........................] - ETA: 0s - loss: 0.9738 - mean_absolute_error: 0.9545   44/126 [=========>....................] - ETA: 0s - loss: 0.4748 - mean_absolute_error: 0.5568 69/126 [===============>..............] - ETA: 0s - loss: 0.3050 - mean_absolute_error: 0.3769 95/126 [=====================>........] - ETA: 0s - loss: 0.2223 - mean_absolute_error: 0.2864119/126 [===========================>..] - ETA: 0s - loss: 0.1779 - mean_absolute_error: 0.2372126/126 [==============================] - 2s 5ms/step - loss: 0.1690 - mean_absolute_error: 0.2271 - val_loss: 4.6058e-04 - val_mean_absolute_error: 0.0179
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0025 - mean_absolute_error: 0.0434 24/126 [====>.........................] - ETA: 0s - loss: 0.0019 - mean_absolute_error: 0.0386 49/126 [==========>...................] - ETA: 0s - loss: 0.0018 - mean_absolute_error: 0.0372 74/126 [================>.............] - ETA: 0s - loss: 0.0017 - mean_absolute_error: 0.0358101/126 [=======================>......] - ETA: 0s - loss: 0.0016 - mean_absolute_error: 0.0344126/126 [==============================] - 0s 2ms/step - loss: 0.0014 - mean_absolute_error: 0.0330 - val_loss: 2.3362e-04 - val_mean_absolute_error: 0.0123
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 9.8805e-04 - mean_absolute_error: 0.0282 18/126 [===>..........................] - ETA: 0s - loss: 8.5608e-04 - mean_absolute_error: 0.0257 39/126 [========>.....................] - ETA: 0s - loss: 7.9820e-04 - mean_absolute_error: 0.0247 62/126 [=============>................] - ETA: 0s - loss: 7.3269e-04 - mean_absolute_error: 0.0235 86/126 [===================>..........] - ETA: 0s - loss: 6.8514e-04 - mean_absolute_error: 0.0227109/126 [========================>.....] - ETA: 0s - loss: 6.2446e-04 - mean_absolute_error: 0.0215126/126 [==============================] - 0s 3ms/step - loss: 5.8681e-04 - mean_absolute_error: 0.0208 - val_loss: 2.0218e-04 - val_mean_absolute_error: 0.0117
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 3.1890e-04 - mean_absolute_error: 0.0144 25/126 [====>.........................] - ETA: 0s - loss: 2.8182e-04 - mean_absolute_error: 0.0141 50/126 [==========>...................] - ETA: 0s - loss: 2.6213e-04 - mean_absolute_error: 0.0136 75/126 [================>.............] - ETA: 0s - loss: 2.4151e-04 - mean_absolute_error: 0.0129102/126 [=======================>......] - ETA: 0s - loss: 2.2171e-04 - mean_absolute_error: 0.0123126/126 [==============================] - 0s 2ms/step - loss: 2.1154e-04 - mean_absolute_error: 0.0120 - val_loss: 1.3828e-04 - val_mean_absolute_error: 0.0094
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.3552e-04 - mean_absolute_error: 0.0099 20/126 [===>..........................] - ETA: 0s - loss: 1.3327e-04 - mean_absolute_error: 0.0091 43/126 [=========>....................] - ETA: 0s - loss: 1.2714e-04 - mean_absolute_error: 0.0089 68/126 [===============>..............] - ETA: 0s - loss: 1.2329e-04 - mean_absolute_error: 0.0087 92/126 [====================>.........] - ETA: 0s - loss: 1.1902e-04 - mean_absolute_error: 0.0085118/126 [===========================>..] - ETA: 0s - loss: 1.1500e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1448e-04 - mean_absolute_error: 0.0083 - val_loss: 1.1543e-04 - val_mean_absolute_error: 0.0085
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 2.7121e-04 - mean_absolute_error: 0.0109 23/126 [====>.........................] - ETA: 0s - loss: 1.0345e-04 - mean_absolute_error: 0.0075 49/126 [==========>...................] - ETA: 0s - loss: 1.1167e-04 - mean_absolute_error: 0.0079 75/126 [================>.............] - ETA: 0s - loss: 1.0789e-04 - mean_absolute_error: 0.0078101/126 [=======================>......] - ETA: 0s - loss: 1.0393e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0227e-04 - mean_absolute_error: 0.0077 - val_loss: 1.2350e-04 - val_mean_absolute_error: 0.0089
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 1.2364e-04 - mean_absolute_error: 0.0078 20/126 [===>..........................] - ETA: 0s - loss: 1.0046e-04 - mean_absolute_error: 0.0076 37/126 [=======>......................] - ETA: 0s - loss: 9.4990e-05 - mean_absolute_error: 0.0074 60/126 [=============>................] - ETA: 0s - loss: 9.8122e-05 - mean_absolute_error: 0.0075 86/126 [===================>..........] - ETA: 0s - loss: 1.0061e-04 - mean_absolute_error: 0.0076112/126 [=========================>....] - ETA: 0s - loss: 9.8150e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 3ms/step - loss: 9.7496e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0718e-04 - val_mean_absolute_error: 0.0081
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 1.3586e-04 - mean_absolute_error: 0.0097 20/126 [===>..........................] - ETA: 0s - loss: 9.6054e-05 - mean_absolute_error: 0.0075 43/126 [=========>....................] - ETA: 0s - loss: 1.0576e-04 - mean_absolute_error: 0.0078 68/126 [===============>..............] - ETA: 0s - loss: 1.0622e-04 - mean_absolute_error: 0.0078 94/126 [=====================>........] - ETA: 0s - loss: 9.9060e-05 - mean_absolute_error: 0.0075121/126 [===========================>..] - ETA: 0s - loss: 9.8071e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.8524e-05 - mean_absolute_error: 0.0075 - val_loss: 1.2265e-04 - val_mean_absolute_error: 0.0088
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 1.8537e-04 - mean_absolute_error: 0.0097 25/126 [====>.........................] - ETA: 0s - loss: 9.6023e-05 - mean_absolute_error: 0.0076 46/126 [=========>....................] - ETA: 0s - loss: 9.8976e-05 - mean_absolute_error: 0.0077 71/126 [===============>..............] - ETA: 0s - loss: 9.4520e-05 - mean_absolute_error: 0.0075 98/126 [======================>.......] - ETA: 0s - loss: 9.8278e-05 - mean_absolute_error: 0.0075121/126 [===========================>..] - ETA: 0s - loss: 9.8349e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.7540e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0621e-04 - val_mean_absolute_error: 0.0079
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.0442e-04 - mean_absolute_error: 0.0081 23/126 [====>.........................] - ETA: 0s - loss: 9.3048e-05 - mean_absolute_error: 0.0073 47/126 [==========>...................] - ETA: 0s - loss: 9.9278e-05 - mean_absolute_error: 0.0075 71/126 [===============>..............] - ETA: 0s - loss: 9.4926e-05 - mean_absolute_error: 0.0074 95/126 [=====================>........] - ETA: 0s - loss: 9.5624e-05 - mean_absolute_error: 0.0074121/126 [===========================>..] - ETA: 0s - loss: 9.6940e-05 - mean_absolute_error: 0.0074126/126 [==============================] - 0s 2ms/step - loss: 9.7621e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0608e-04 - val_mean_absolute_error: 0.0079
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 6.9572e-05 - mean_absolute_error: 0.0070 25/126 [====>.........................] - ETA: 0s - loss: 9.0544e-05 - mean_absolute_error: 0.0073 51/126 [===========>..................] - ETA: 0s - loss: 9.3879e-05 - mean_absolute_error: 0.0074 77/126 [=================>............] - ETA: 0s - loss: 9.1408e-05 - mean_absolute_error: 0.0073104/126 [=======================>......] - ETA: 0s - loss: 9.5717e-05 - mean_absolute_error: 0.0074126/126 [==============================] - 0s 2ms/step - loss: 9.8009e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0884e-04 - val_mean_absolute_error: 0.0082
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 7.2034e-05 - mean_absolute_error: 0.0070 19/126 [===>..........................] - ETA: 0s - loss: 1.0386e-04 - mean_absolute_error: 0.0077 42/126 [=========>....................] - ETA: 0s - loss: 1.0522e-04 - mean_absolute_error: 0.0078 69/126 [===============>..............] - ETA: 0s - loss: 1.0532e-04 - mean_absolute_error: 0.0078 95/126 [=====================>........] - ETA: 0s - loss: 1.0254e-04 - mean_absolute_error: 0.0078121/126 [===========================>..] - ETA: 0s - loss: 1.0289e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0215e-04 - mean_absolute_error: 0.0077 - val_loss: 1.0925e-04 - val_mean_absolute_error: 0.0082
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 7.9738e-05 - mean_absolute_error: 0.0074 25/126 [====>.........................] - ETA: 0s - loss: 1.0458e-04 - mean_absolute_error: 0.0074 52/126 [===========>..................] - ETA: 0s - loss: 9.9036e-05 - mean_absolute_error: 0.0075 78/126 [=================>............] - ETA: 0s - loss: 9.8633e-05 - mean_absolute_error: 0.0075103/126 [=======================>......] - ETA: 0s - loss: 9.7929e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.8176e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1250e-04 - val_mean_absolute_error: 0.0083
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 1.0310e-04 - mean_absolute_error: 0.0087 24/126 [====>.........................] - ETA: 0s - loss: 9.9046e-05 - mean_absolute_error: 0.0075 50/126 [==========>...................] - ETA: 0s - loss: 8.9353e-05 - mean_absolute_error: 0.0072 76/126 [=================>............] - ETA: 0s - loss: 9.4764e-05 - mean_absolute_error: 0.0074101/126 [=======================>......] - ETA: 0s - loss: 9.7963e-05 - mean_absolute_error: 0.0075126/126 [==============================] - ETA: 0s - loss: 9.8784e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.8784e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0641e-04 - val_mean_absolute_error: 0.0080
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.9134e-04 - mean_absolute_error: 0.0083 26/126 [=====>........................] - ETA: 0s - loss: 1.0288e-04 - mean_absolute_error: 0.0077 50/126 [==========>...................] - ETA: 0s - loss: 1.0088e-04 - mean_absolute_error: 0.0076 73/126 [================>.............] - ETA: 0s - loss: 9.9878e-05 - mean_absolute_error: 0.0076 97/126 [======================>.......] - ETA: 0s - loss: 9.8170e-05 - mean_absolute_error: 0.0075123/126 [============================>.] - ETA: 0s - loss: 9.8255e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.8181e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1725e-04 - val_mean_absolute_error: 0.0086
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 1.2513e-04 - mean_absolute_error: 0.0084 25/126 [====>.........................] - ETA: 0s - loss: 1.0072e-04 - mean_absolute_error: 0.0076 49/126 [==========>...................] - ETA: 0s - loss: 9.5312e-05 - mean_absolute_error: 0.0073 76/126 [=================>............] - ETA: 0s - loss: 9.8814e-05 - mean_absolute_error: 0.0075103/126 [=======================>......] - ETA: 0s - loss: 9.8147e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 1.0064e-04 - mean_absolute_error: 0.0076 - val_loss: 1.0631e-04 - val_mean_absolute_error: 0.0080
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 8.4144e-05 - mean_absolute_error: 0.0070 24/126 [====>.........................] - ETA: 0s - loss: 9.9990e-05 - mean_absolute_error: 0.0076 48/126 [==========>...................] - ETA: 0s - loss: 1.0193e-04 - mean_absolute_error: 0.0077 73/126 [================>.............] - ETA: 0s - loss: 1.0290e-04 - mean_absolute_error: 0.0076 96/126 [=====================>........] - ETA: 0s - loss: 1.0203e-04 - mean_absolute_error: 0.0076121/126 [===========================>..] - ETA: 0s - loss: 9.9776e-05 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 2ms/step - loss: 9.8750e-05 - mean_absolute_error: 0.0075 - val_loss: 1.1369e-04 - val_mean_absolute_error: 0.0084
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 7.9920e-05 - mean_absolute_error: 0.0068 23/126 [====>.........................] - ETA: 0s - loss: 1.1693e-04 - mean_absolute_error: 0.0081 47/126 [==========>...................] - ETA: 0s - loss: 1.1162e-04 - mean_absolute_error: 0.0080 71/126 [===============>..............] - ETA: 0s - loss: 1.1035e-04 - mean_absolute_error: 0.0080 95/126 [=====================>........] - ETA: 0s - loss: 1.0691e-04 - mean_absolute_error: 0.0079119/126 [===========================>..] - ETA: 0s - loss: 1.0581e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0619e-04 - mean_absolute_error: 0.0079 - val_loss: 1.2563e-04 - val_mean_absolute_error: 0.0090
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 7.7950e-05 - mean_absolute_error: 0.0073 25/126 [====>.........................] - ETA: 0s - loss: 9.0245e-05 - mean_absolute_error: 0.0074 51/126 [===========>..................] - ETA: 0s - loss: 9.0535e-05 - mean_absolute_error: 0.0073 77/126 [=================>............] - ETA: 0s - loss: 9.3034e-05 - mean_absolute_error: 0.0074101/126 [=======================>......] - ETA: 0s - loss: 9.5382e-05 - mean_absolute_error: 0.0074126/126 [==============================] - 0s 2ms/step - loss: 9.8840e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0876e-04 - val_mean_absolute_error: 0.0082
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 5.1751e-05 - mean_absolute_error: 0.0058 25/126 [====>.........................] - ETA: 0s - loss: 1.0531e-04 - mean_absolute_error: 0.0078 50/126 [==========>...................] - ETA: 0s - loss: 1.0147e-04 - mean_absolute_error: 0.0077 76/126 [=================>............] - ETA: 0s - loss: 1.0053e-04 - mean_absolute_error: 0.0076103/126 [=======================>......] - ETA: 0s - loss: 1.0048e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 2ms/step - loss: 1.0294e-04 - mean_absolute_error: 0.0077 - val_loss: 1.5585e-04 - val_mean_absolute_error: 0.0101
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 1.5669e-04 - mean_absolute_error: 0.0094 23/126 [====>.........................] - ETA: 0s - loss: 1.0811e-04 - mean_absolute_error: 0.0080 48/126 [==========>...................] - ETA: 0s - loss: 1.0247e-04 - mean_absolute_error: 0.0077 73/126 [================>.............] - ETA: 0s - loss: 1.0282e-04 - mean_absolute_error: 0.0077 98/126 [======================>.......] - ETA: 0s - loss: 1.0281e-04 - mean_absolute_error: 0.0077124/126 [============================>.] - ETA: 0s - loss: 1.0443e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0406e-04 - mean_absolute_error: 0.0077 - val_loss: 1.4821e-04 - val_mean_absolute_error: 0.0098
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 6.6896e-05 - mean_absolute_error: 0.0061 22/126 [====>.........................] - ETA: 0s - loss: 1.1451e-04 - mean_absolute_error: 0.0081 46/126 [=========>....................] - ETA: 0s - loss: 1.0395e-04 - mean_absolute_error: 0.0076 70/126 [===============>..............] - ETA: 0s - loss: 1.0438e-04 - mean_absolute_error: 0.0077 96/126 [=====================>........] - ETA: 0s - loss: 1.0623e-04 - mean_absolute_error: 0.0078121/126 [===========================>..] - ETA: 0s - loss: 1.0429e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0343e-04 - mean_absolute_error: 0.0077 - val_loss: 1.2854e-04 - val_mean_absolute_error: 0.0091
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 1.2847e-04 - mean_absolute_error: 0.0080 23/126 [====>.........................] - ETA: 0s - loss: 9.4368e-05 - mean_absolute_error: 0.0073 47/126 [==========>...................] - ETA: 0s - loss: 1.0269e-04 - mean_absolute_error: 0.0076 73/126 [================>.............] - ETA: 0s - loss: 1.0340e-04 - mean_absolute_error: 0.0076 99/126 [======================>.......] - ETA: 0s - loss: 1.0131e-04 - mean_absolute_error: 0.0076118/126 [===========================>..] - ETA: 0s - loss: 1.0096e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 3ms/step - loss: 1.0118e-04 - mean_absolute_error: 0.0076 - val_loss: 1.0886e-04 - val_mean_absolute_error: 0.0081
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 8.1709e-05 - mean_absolute_error: 0.0077 24/126 [====>.........................] - ETA: 0s - loss: 9.5440e-05 - mean_absolute_error: 0.0073 46/126 [=========>....................] - ETA: 0s - loss: 9.6823e-05 - mean_absolute_error: 0.0074 70/126 [===============>..............] - ETA: 0s - loss: 1.0449e-04 - mean_absolute_error: 0.0077 97/126 [======================>.......] - ETA: 0s - loss: 1.0221e-04 - mean_absolute_error: 0.0076121/126 [===========================>..] - ETA: 0s - loss: 1.0265e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0263e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1701e-04 - val_mean_absolute_error: 0.0085
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 1.4892e-04 - mean_absolute_error: 0.0100 21/126 [====>.........................] - ETA: 0s - loss: 9.8896e-05 - mean_absolute_error: 0.0078 44/126 [=========>....................] - ETA: 0s - loss: 1.0279e-04 - mean_absolute_error: 0.0079 69/126 [===============>..............] - ETA: 0s - loss: 1.0327e-04 - mean_absolute_error: 0.0078 94/126 [=====================>........] - ETA: 0s - loss: 1.0279e-04 - mean_absolute_error: 0.0077120/126 [===========================>..] - ETA: 0s - loss: 1.0247e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0218e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1257e-04 - val_mean_absolute_error: 0.0083
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 1.0398e-04 - mean_absolute_error: 0.0082 23/126 [====>.........................] - ETA: 0s - loss: 1.0165e-04 - mean_absolute_error: 0.0076 48/126 [==========>...................] - ETA: 0s - loss: 1.0538e-04 - mean_absolute_error: 0.0078 73/126 [================>.............] - ETA: 0s - loss: 1.0251e-04 - mean_absolute_error: 0.0078 98/126 [======================>.......] - ETA: 0s - loss: 1.0176e-04 - mean_absolute_error: 0.0077123/126 [============================>.] - ETA: 0s - loss: 1.0240e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0194e-04 - mean_absolute_error: 0.0077 - val_loss: 1.5783e-04 - val_mean_absolute_error: 0.0102
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 5.5986e-05 - mean_absolute_error: 0.0060 26/126 [=====>........................] - ETA: 0s - loss: 8.9032e-05 - mean_absolute_error: 0.0074 53/126 [===========>..................] - ETA: 0s - loss: 9.8729e-05 - mean_absolute_error: 0.0076 80/126 [==================>...........] - ETA: 0s - loss: 1.0016e-04 - mean_absolute_error: 0.0076106/126 [========================>.....] - ETA: 0s - loss: 9.9889e-05 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 2ms/step - loss: 9.9882e-05 - mean_absolute_error: 0.0076 - val_loss: 1.4426e-04 - val_mean_absolute_error: 0.0095
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 1.4951e-04 - mean_absolute_error: 0.0104 20/126 [===>..........................] - ETA: 0s - loss: 1.1073e-04 - mean_absolute_error: 0.0078 46/126 [=========>....................] - ETA: 0s - loss: 1.0360e-04 - mean_absolute_error: 0.0076 73/126 [================>.............] - ETA: 0s - loss: 1.0210e-04 - mean_absolute_error: 0.0075100/126 [======================>.......] - ETA: 0s - loss: 1.0419e-04 - mean_absolute_error: 0.0077123/126 [============================>.] - ETA: 0s - loss: 1.0726e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0727e-04 - mean_absolute_error: 0.0078 - val_loss: 3.2773e-04 - val_mean_absolute_error: 0.0158
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 2.1974e-04 - mean_absolute_error: 0.0126 24/126 [====>.........................] - ETA: 0s - loss: 1.1536e-04 - mean_absolute_error: 0.0082 48/126 [==========>...................] - ETA: 0s - loss: 1.0638e-04 - mean_absolute_error: 0.0079 74/126 [================>.............] - ETA: 0s - loss: 1.0945e-04 - mean_absolute_error: 0.0080 97/126 [======================>.......] - ETA: 0s - loss: 1.0929e-04 - mean_absolute_error: 0.0080122/126 [============================>.] - ETA: 0s - loss: 1.0830e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 2ms/step - loss: 1.0992e-04 - mean_absolute_error: 0.0080 - val_loss: 1.6117e-04 - val_mean_absolute_error: 0.0103
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 9.7656e-05 - mean_absolute_error: 0.0077 23/126 [====>.........................] - ETA: 0s - loss: 9.9847e-05 - mean_absolute_error: 0.0076 48/126 [==========>...................] - ETA: 0s - loss: 1.3326e-04 - mean_absolute_error: 0.0089 72/126 [================>.............] - ETA: 0s - loss: 1.2293e-04 - mean_absolute_error: 0.0086 97/126 [======================>.......] - ETA: 0s - loss: 1.1734e-04 - mean_absolute_error: 0.0083122/126 [============================>.] - ETA: 0s - loss: 1.1529e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 2ms/step - loss: 1.1656e-04 - mean_absolute_error: 0.0083 - val_loss: 1.8403e-04 - val_mean_absolute_error: 0.0109
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 2.2030e-04 - mean_absolute_error: 0.0130 25/126 [====>.........................] - ETA: 0s - loss: 9.9387e-05 - mean_absolute_error: 0.0076 51/126 [===========>..................] - ETA: 0s - loss: 1.0457e-04 - mean_absolute_error: 0.0079 77/126 [=================>............] - ETA: 0s - loss: 1.0520e-04 - mean_absolute_error: 0.0078103/126 [=======================>......] - ETA: 0s - loss: 1.0830e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 2ms/step - loss: 1.1219e-04 - mean_absolute_error: 0.0081 - val_loss: 1.3242e-04 - val_mean_absolute_error: 0.0092
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 9.8024e-05 - mean_absolute_error: 0.0073 22/126 [====>.........................] - ETA: 0s - loss: 1.1289e-04 - mean_absolute_error: 0.0080 49/126 [==========>...................] - ETA: 0s - loss: 1.0309e-04 - mean_absolute_error: 0.0077 76/126 [=================>............] - ETA: 0s - loss: 1.0701e-04 - mean_absolute_error: 0.0079102/126 [=======================>......] - ETA: 0s - loss: 1.0696e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 2ms/step - loss: 1.0714e-04 - mean_absolute_error: 0.0080 - val_loss: 1.1024e-04 - val_mean_absolute_error: 0.0082
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 1.1308e-04 - mean_absolute_error: 0.0086 21/126 [====>.........................] - ETA: 0s - loss: 1.3099e-04 - mean_absolute_error: 0.0086 44/126 [=========>....................] - ETA: 0s - loss: 1.0846e-04 - mean_absolute_error: 0.0077 68/126 [===============>..............] - ETA: 0s - loss: 1.0737e-04 - mean_absolute_error: 0.0077 94/126 [=====================>........] - ETA: 0s - loss: 1.0488e-04 - mean_absolute_error: 0.0077120/126 [===========================>..] - ETA: 0s - loss: 1.0856e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 2ms/step - loss: 1.0810e-04 - mean_absolute_error: 0.0079 - val_loss: 1.2266e-04 - val_mean_absolute_error: 0.0088
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 1.4008e-04 - mean_absolute_error: 0.0078 24/126 [====>.........................] - ETA: 0s - loss: 9.9524e-05 - mean_absolute_error: 0.0076 49/126 [==========>...................] - ETA: 0s - loss: 1.0315e-04 - mean_absolute_error: 0.0077 76/126 [=================>............] - ETA: 0s - loss: 1.0093e-04 - mean_absolute_error: 0.0076102/126 [=======================>......] - ETA: 0s - loss: 9.8582e-05 - mean_absolute_error: 0.0075126/126 [==============================] - ETA: 0s - loss: 1.0465e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0465e-04 - mean_absolute_error: 0.0078 - val_loss: 2.1085e-04 - val_mean_absolute_error: 0.0121
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 1.3943e-04 - mean_absolute_error: 0.0097 24/126 [====>.........................] - ETA: 0s - loss: 1.3349e-04 - mean_absolute_error: 0.0091 48/126 [==========>...................] - ETA: 0s - loss: 1.2650e-04 - mean_absolute_error: 0.0087 74/126 [================>.............] - ETA: 0s - loss: 1.1960e-04 - mean_absolute_error: 0.0084100/126 [======================>.......] - ETA: 0s - loss: 1.2125e-04 - mean_absolute_error: 0.0085125/126 [============================>.] - ETA: 0s - loss: 1.2063e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 2ms/step - loss: 1.2041e-04 - mean_absolute_error: 0.0085 - val_loss: 1.0589e-04 - val_mean_absolute_error: 0.0079
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 1.5979e-04 - mean_absolute_error: 0.0104 24/126 [====>.........................] - ETA: 0s - loss: 1.3650e-04 - mean_absolute_error: 0.0088 49/126 [==========>...................] - ETA: 0s - loss: 1.1692e-04 - mean_absolute_error: 0.0082 75/126 [================>.............] - ETA: 0s - loss: 1.1581e-04 - mean_absolute_error: 0.0083 99/126 [======================>.......] - ETA: 0s - loss: 1.1316e-04 - mean_absolute_error: 0.0081126/126 [==============================] - ETA: 0s - loss: 1.0782e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 2ms/step - loss: 1.0782e-04 - mean_absolute_error: 0.0079 - val_loss: 2.2507e-04 - val_mean_absolute_error: 0.0126
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 1.4063e-04 - mean_absolute_error: 0.0094 24/126 [====>.........................] - ETA: 0s - loss: 1.4653e-04 - mean_absolute_error: 0.0097 49/126 [==========>...................] - ETA: 0s - loss: 1.5563e-04 - mean_absolute_error: 0.0099 74/126 [================>.............] - ETA: 0s - loss: 1.3578e-04 - mean_absolute_error: 0.0091101/126 [=======================>......] - ETA: 0s - loss: 1.2981e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 2ms/step - loss: 1.3041e-04 - mean_absolute_error: 0.0089 - val_loss: 1.2121e-04 - val_mean_absolute_error: 0.0088
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 8.4724e-05 - mean_absolute_error: 0.0074 21/126 [====>.........................] - ETA: 0s - loss: 1.0569e-04 - mean_absolute_error: 0.0075 47/126 [==========>...................] - ETA: 0s - loss: 1.0037e-04 - mean_absolute_error: 0.0075 73/126 [================>.............] - ETA: 0s - loss: 1.0736e-04 - mean_absolute_error: 0.0078100/126 [======================>.......] - ETA: 0s - loss: 1.0429e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0421e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2282e-04 - val_mean_absolute_error: 0.0089
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 9.5400e-05 - mean_absolute_error: 0.0077 20/126 [===>..........................] - ETA: 0s - loss: 9.1538e-05 - mean_absolute_error: 0.0072 46/126 [=========>....................] - ETA: 0s - loss: 9.9125e-05 - mean_absolute_error: 0.0076 73/126 [================>.............] - ETA: 0s - loss: 1.0015e-04 - mean_absolute_error: 0.0077100/126 [======================>.......] - ETA: 0s - loss: 1.0045e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0796e-04 - mean_absolute_error: 0.0080 - val_loss: 1.0761e-04 - val_mean_absolute_error: 0.0081
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 7.1104e-05 - mean_absolute_error: 0.0073 21/126 [====>.........................] - ETA: 0s - loss: 9.8073e-05 - mean_absolute_error: 0.0075 45/126 [=========>....................] - ETA: 0s - loss: 9.6628e-05 - mean_absolute_error: 0.0075 71/126 [===============>..............] - ETA: 0s - loss: 1.0063e-04 - mean_absolute_error: 0.0076 96/126 [=====================>........] - ETA: 0s - loss: 1.0386e-04 - mean_absolute_error: 0.0077120/126 [===========================>..] - ETA: 0s - loss: 1.0747e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0612e-04 - mean_absolute_error: 0.0078 - val_loss: 1.4413e-04 - val_mean_absolute_error: 0.0097
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 7.5149e-05 - mean_absolute_error: 0.0070 20/126 [===>..........................] - ETA: 0s - loss: 1.3600e-04 - mean_absolute_error: 0.0089 36/126 [=======>......................] - ETA: 0s - loss: 1.2133e-04 - mean_absolute_error: 0.0085 49/126 [==========>...................] - ETA: 0s - loss: 1.2249e-04 - mean_absolute_error: 0.0085 66/126 [==============>...............] - ETA: 0s - loss: 1.3425e-04 - mean_absolute_error: 0.0089 88/126 [===================>..........] - ETA: 0s - loss: 1.3403e-04 - mean_absolute_error: 0.0090111/126 [=========================>....] - ETA: 0s - loss: 1.3120e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.2656e-04 - mean_absolute_error: 0.0087 - val_loss: 1.8218e-04 - val_mean_absolute_error: 0.0111
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 1.8516e-04 - mean_absolute_error: 0.0110 20/126 [===>..........................] - ETA: 0s - loss: 1.1050e-04 - mean_absolute_error: 0.0082 44/126 [=========>....................] - ETA: 0s - loss: 1.0387e-04 - mean_absolute_error: 0.0080 68/126 [===============>..............] - ETA: 0s - loss: 1.0377e-04 - mean_absolute_error: 0.0078 92/126 [====================>.........] - ETA: 0s - loss: 1.1576e-04 - mean_absolute_error: 0.0083117/126 [==========================>...] - ETA: 0s - loss: 1.2274e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2009e-04 - mean_absolute_error: 0.0084 - val_loss: 1.3042e-04 - val_mean_absolute_error: 0.0092
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 1.2066e-04 - mean_absolute_error: 0.0085 20/126 [===>..........................] - ETA: 0s - loss: 9.6553e-05 - mean_absolute_error: 0.0075 40/126 [========>.....................] - ETA: 0s - loss: 9.4578e-05 - mean_absolute_error: 0.0075 58/126 [============>.................] - ETA: 0s - loss: 1.0302e-04 - mean_absolute_error: 0.0078 74/126 [================>.............] - ETA: 0s - loss: 1.0902e-04 - mean_absolute_error: 0.0080 93/126 [=====================>........] - ETA: 0s - loss: 1.0737e-04 - mean_absolute_error: 0.0080120/126 [===========================>..] - ETA: 0s - loss: 1.0942e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0884e-04 - mean_absolute_error: 0.0080 - val_loss: 1.0492e-04 - val_mean_absolute_error: 0.0079
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 1.4441e-04 - mean_absolute_error: 0.0079 24/126 [====>.........................] - ETA: 0s - loss: 9.1898e-05 - mean_absolute_error: 0.0071 50/126 [==========>...................] - ETA: 0s - loss: 1.0343e-04 - mean_absolute_error: 0.0076 76/126 [=================>............] - ETA: 0s - loss: 1.0312e-04 - mean_absolute_error: 0.0076101/126 [=======================>......] - ETA: 0s - loss: 1.0114e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 2ms/step - loss: 1.0050e-04 - mean_absolute_error: 0.0076 - val_loss: 1.0726e-04 - val_mean_absolute_error: 0.0081
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 1.9913e-04 - mean_absolute_error: 0.0098 20/126 [===>..........................] - ETA: 0s - loss: 1.1414e-04 - mean_absolute_error: 0.0080 43/126 [=========>....................] - ETA: 0s - loss: 1.1108e-04 - mean_absolute_error: 0.0080 67/126 [==============>...............] - ETA: 0s - loss: 1.0205e-04 - mean_absolute_error: 0.0077 92/126 [====================>.........] - ETA: 0s - loss: 1.1046e-04 - mean_absolute_error: 0.0080116/126 [==========================>...] - ETA: 0s - loss: 1.1057e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0927e-04 - mean_absolute_error: 0.0080 - val_loss: 1.0453e-04 - val_mean_absolute_error: 0.0079
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 8.1808e-05 - mean_absolute_error: 0.0077 24/126 [====>.........................] - ETA: 0s - loss: 1.5166e-04 - mean_absolute_error: 0.0094 48/126 [==========>...................] - ETA: 0s - loss: 1.3074e-04 - mean_absolute_error: 0.0086 73/126 [================>.............] - ETA: 0s - loss: 1.1566e-04 - mean_absolute_error: 0.0081 99/126 [======================>.......] - ETA: 0s - loss: 1.0770e-04 - mean_absolute_error: 0.0079123/126 [============================>.] - ETA: 0s - loss: 1.0741e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 2ms/step - loss: 1.0726e-04 - mean_absolute_error: 0.0079 - val_loss: 1.2245e-04 - val_mean_absolute_error: 0.0087
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 1.0586e-04 - mean_absolute_error: 0.0081 19/126 [===>..........................] - ETA: 0s - loss: 1.1282e-04 - mean_absolute_error: 0.0082 43/126 [=========>....................] - ETA: 0s - loss: 1.1199e-04 - mean_absolute_error: 0.0081 67/126 [==============>...............] - ETA: 0s - loss: 1.1669e-04 - mean_absolute_error: 0.0084 91/126 [====================>.........] - ETA: 0s - loss: 1.1447e-04 - mean_absolute_error: 0.0083114/126 [==========================>...] - ETA: 0s - loss: 1.1393e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.1558e-04 - mean_absolute_error: 0.0083 - val_loss: 1.4777e-04 - val_mean_absolute_error: 0.0097
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 1.1331e-04 - mean_absolute_error: 0.0082 26/126 [=====>........................] - ETA: 0s - loss: 1.1123e-04 - mean_absolute_error: 0.0081 50/126 [==========>...................] - ETA: 0s - loss: 1.0645e-04 - mean_absolute_error: 0.0080 77/126 [=================>............] - ETA: 0s - loss: 1.1320e-04 - mean_absolute_error: 0.0082103/126 [=======================>......] - ETA: 0s - loss: 1.1156e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 2ms/step - loss: 1.1560e-04 - mean_absolute_error: 0.0082 - val_loss: 1.2724e-04 - val_mean_absolute_error: 0.0090
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 8.4948e-05 - mean_absolute_error: 0.0064 20/126 [===>..........................] - ETA: 0s - loss: 1.1590e-04 - mean_absolute_error: 0.0080 46/126 [=========>....................] - ETA: 0s - loss: 1.4544e-04 - mean_absolute_error: 0.0093 71/126 [===============>..............] - ETA: 0s - loss: 1.3525e-04 - mean_absolute_error: 0.0090 96/126 [=====================>........] - ETA: 0s - loss: 1.2354e-04 - mean_absolute_error: 0.0085123/126 [============================>.] - ETA: 0s - loss: 1.2768e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 2ms/step - loss: 1.2844e-04 - mean_absolute_error: 0.0087 - val_loss: 1.9260e-04 - val_mean_absolute_error: 0.0113
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 3.1125e-04 - mean_absolute_error: 0.0143 26/126 [=====>........................] - ETA: 0s - loss: 1.4240e-04 - mean_absolute_error: 0.0092 51/126 [===========>..................] - ETA: 0s - loss: 1.2460e-04 - mean_absolute_error: 0.0085 78/126 [=================>............] - ETA: 0s - loss: 1.1405e-04 - mean_absolute_error: 0.0081104/126 [=======================>......] - ETA: 0s - loss: 1.1072e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 2ms/step - loss: 1.0959e-04 - mean_absolute_error: 0.0080 - val_loss: 1.1319e-04 - val_mean_absolute_error: 0.0083
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 1.0309e-04 - mean_absolute_error: 0.0083 23/126 [====>.........................] - ETA: 0s - loss: 1.4270e-04 - mean_absolute_error: 0.0093 48/126 [==========>...................] - ETA: 0s - loss: 1.3128e-04 - mean_absolute_error: 0.0089 74/126 [================>.............] - ETA: 0s - loss: 1.2229e-04 - mean_absolute_error: 0.0085100/126 [======================>.......] - ETA: 0s - loss: 1.1315e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 2ms/step - loss: 1.0983e-04 - mean_absolute_error: 0.0081 - val_loss: 1.8225e-04 - val_mean_absolute_error: 0.0111
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 8.5689e-05 - mean_absolute_error: 0.0072 22/126 [====>.........................] - ETA: 0s - loss: 9.4532e-05 - mean_absolute_error: 0.0073 49/126 [==========>...................] - ETA: 0s - loss: 9.7304e-05 - mean_absolute_error: 0.0076 74/126 [================>.............] - ETA: 0s - loss: 9.8578e-05 - mean_absolute_error: 0.0076101/126 [=======================>......] - ETA: 0s - loss: 1.0122e-04 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 2ms/step - loss: 9.7202e-05 - mean_absolute_error: 0.0075 - val_loss: 1.0407e-04 - val_mean_absolute_error: 0.0079
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 5.6143e-05 - mean_absolute_error: 0.0059 20/126 [===>..........................] - ETA: 0s - loss: 1.4430e-04 - mean_absolute_error: 0.0093 41/126 [========>.....................] - ETA: 0s - loss: 1.5606e-04 - mean_absolute_error: 0.0098 66/126 [==============>...............] - ETA: 0s - loss: 1.5069e-04 - mean_absolute_error: 0.0097 90/126 [====================>.........] - ETA: 0s - loss: 1.5149e-04 - mean_absolute_error: 0.0097113/126 [=========================>....] - ETA: 0s - loss: 1.4171e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.3858e-04 - mean_absolute_error: 0.0092 - val_loss: 1.1857e-04 - val_mean_absolute_error: 0.0087
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 9.0674e-05 - mean_absolute_error: 0.0071 24/126 [====>.........................] - ETA: 0s - loss: 1.2337e-04 - mean_absolute_error: 0.0084 47/126 [==========>...................] - ETA: 0s - loss: 1.2209e-04 - mean_absolute_error: 0.0084 73/126 [================>.............] - ETA: 0s - loss: 1.2966e-04 - mean_absolute_error: 0.0088 99/126 [======================>.......] - ETA: 0s - loss: 1.2714e-04 - mean_absolute_error: 0.0087124/126 [============================>.] - ETA: 0s - loss: 1.2104e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 2ms/step - loss: 1.2082e-04 - mean_absolute_error: 0.0084 - val_loss: 1.3556e-04 - val_mean_absolute_error: 0.0092
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 9.1981e-05 - mean_absolute_error: 0.0079 22/126 [====>.........................] - ETA: 0s - loss: 9.6085e-05 - mean_absolute_error: 0.0075 45/126 [=========>....................] - ETA: 0s - loss: 9.6312e-05 - mean_absolute_error: 0.0075 69/126 [===============>..............] - ETA: 0s - loss: 1.0476e-04 - mean_absolute_error: 0.0078 93/126 [=====================>........] - ETA: 0s - loss: 9.9676e-05 - mean_absolute_error: 0.0075120/126 [===========================>..] - ETA: 0s - loss: 9.9953e-05 - mean_absolute_error: 0.0076126/126 [==============================] - 0s 2ms/step - loss: 1.0032e-04 - mean_absolute_error: 0.0076 - val_loss: 1.1177e-04 - val_mean_absolute_error: 0.0084
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 7.1326e-05 - mean_absolute_error: 0.0069 18/126 [===>..........................] - ETA: 0s - loss: 1.0462e-04 - mean_absolute_error: 0.0082 40/126 [========>.....................] - ETA: 0s - loss: 1.1858e-04 - mean_absolute_error: 0.0083 66/126 [==============>...............] - ETA: 0s - loss: 1.1119e-04 - mean_absolute_error: 0.0081 93/126 [=====================>........] - ETA: 0s - loss: 1.1420e-04 - mean_absolute_error: 0.0083120/126 [===========================>..] - ETA: 0s - loss: 1.1448e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1578e-04 - mean_absolute_error: 0.0083 - val_loss: 1.5327e-04 - val_mean_absolute_error: 0.0098
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.6043e-04 - mean_absolute_error: 0.0101 17/126 [===>..........................] - ETA: 0s - loss: 9.7706e-05 - mean_absolute_error: 0.0077 39/126 [========>.....................] - ETA: 0s - loss: 1.0575e-04 - mean_absolute_error: 0.0079 63/126 [==============>...............] - ETA: 0s - loss: 1.0347e-04 - mean_absolute_error: 0.0078 90/126 [====================>.........] - ETA: 0s - loss: 1.0337e-04 - mean_absolute_error: 0.0078116/126 [==========================>...] - ETA: 0s - loss: 1.0831e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0995e-04 - mean_absolute_error: 0.0080 - val_loss: 9.9361e-05 - val_mean_absolute_error: 0.0077
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 7.2199e-05 - mean_absolute_error: 0.0063 21/126 [====>.........................] - ETA: 0s - loss: 8.5465e-05 - mean_absolute_error: 0.0070 45/126 [=========>....................] - ETA: 0s - loss: 1.0090e-04 - mean_absolute_error: 0.0076 71/126 [===============>..............] - ETA: 0s - loss: 1.0033e-04 - mean_absolute_error: 0.0077 97/126 [======================>.......] - ETA: 0s - loss: 1.0475e-04 - mean_absolute_error: 0.0079123/126 [============================>.] - ETA: 0s - loss: 1.0297e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0328e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0162e-04 - val_mean_absolute_error: 0.0078
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 1.0021e-04 - mean_absolute_error: 0.0081 23/126 [====>.........................] - ETA: 0s - loss: 1.2611e-04 - mean_absolute_error: 0.0088 49/126 [==========>...................] - ETA: 0s - loss: 1.2841e-04 - mean_absolute_error: 0.0089 74/126 [================>.............] - ETA: 0s - loss: 1.2180e-04 - mean_absolute_error: 0.0087 99/126 [======================>.......] - ETA: 0s - loss: 1.1515e-04 - mean_absolute_error: 0.0084125/126 [============================>.] - ETA: 0s - loss: 1.1462e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1480e-04 - mean_absolute_error: 0.0083 - val_loss: 2.2195e-04 - val_mean_absolute_error: 0.0126
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 2.8656e-04 - mean_absolute_error: 0.0124 24/126 [====>.........................] - ETA: 0s - loss: 1.6198e-04 - mean_absolute_error: 0.0103 48/126 [==========>...................] - ETA: 0s - loss: 1.3334e-04 - mean_absolute_error: 0.0091 73/126 [================>.............] - ETA: 0s - loss: 1.2794e-04 - mean_absolute_error: 0.0088 99/126 [======================>.......] - ETA: 0s - loss: 1.2014e-04 - mean_absolute_error: 0.0085123/126 [============================>.] - ETA: 0s - loss: 1.1720e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 2ms/step - loss: 1.1712e-04 - mean_absolute_error: 0.0084 - val_loss: 1.1795e-04 - val_mean_absolute_error: 0.0087
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 6.2849e-05 - mean_absolute_error: 0.0065 23/126 [====>.........................] - ETA: 0s - loss: 1.1188e-04 - mean_absolute_error: 0.0082 46/126 [=========>....................] - ETA: 0s - loss: 1.1363e-04 - mean_absolute_error: 0.0083 71/126 [===============>..............] - ETA: 0s - loss: 1.1135e-04 - mean_absolute_error: 0.0081 96/126 [=====================>........] - ETA: 0s - loss: 1.1299e-04 - mean_absolute_error: 0.0082122/126 [============================>.] - ETA: 0s - loss: 1.1234e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 2ms/step - loss: 1.1293e-04 - mean_absolute_error: 0.0082 - val_loss: 1.1900e-04 - val_mean_absolute_error: 0.0086
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 1.1280e-04 - mean_absolute_error: 0.0086 24/126 [====>.........................] - ETA: 0s - loss: 1.5021e-04 - mean_absolute_error: 0.0097 50/126 [==========>...................] - ETA: 0s - loss: 1.3527e-04 - mean_absolute_error: 0.0091 76/126 [=================>............] - ETA: 0s - loss: 1.2075e-04 - mean_absolute_error: 0.0085102/126 [=======================>......] - ETA: 0s - loss: 1.1576e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1378e-04 - mean_absolute_error: 0.0082 - val_loss: 9.8108e-05 - val_mean_absolute_error: 0.0076
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 8.4156e-05 - mean_absolute_error: 0.0075 23/126 [====>.........................] - ETA: 0s - loss: 8.8997e-05 - mean_absolute_error: 0.0070 47/126 [==========>...................] - ETA: 0s - loss: 1.0075e-04 - mean_absolute_error: 0.0075 74/126 [================>.............] - ETA: 0s - loss: 9.7749e-05 - mean_absolute_error: 0.0075 98/126 [======================>.......] - ETA: 0s - loss: 9.4690e-05 - mean_absolute_error: 0.0074124/126 [============================>.] - ETA: 0s - loss: 1.0343e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0313e-04 - mean_absolute_error: 0.0077 - val_loss: 2.5350e-04 - val_mean_absolute_error: 0.0136
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 2.3798e-04 - mean_absolute_error: 0.0132 24/126 [====>.........................] - ETA: 0s - loss: 1.1704e-04 - mean_absolute_error: 0.0083 49/126 [==========>...................] - ETA: 0s - loss: 1.0688e-04 - mean_absolute_error: 0.0079 76/126 [=================>............] - ETA: 0s - loss: 1.0042e-04 - mean_absolute_error: 0.0077102/126 [=======================>......] - ETA: 0s - loss: 1.0517e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0603e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2415e-04 - val_mean_absolute_error: 0.0088
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 1.1371e-04 - mean_absolute_error: 0.0092 23/126 [====>.........................] - ETA: 0s - loss: 9.2723e-05 - mean_absolute_error: 0.0073 49/126 [==========>...................] - ETA: 0s - loss: 9.4162e-05 - mean_absolute_error: 0.0073 74/126 [================>.............] - ETA: 0s - loss: 9.2215e-05 - mean_absolute_error: 0.0073100/126 [======================>.......] - ETA: 0s - loss: 1.0201e-04 - mean_absolute_error: 0.0076126/126 [==============================] - ETA: 0s - loss: 1.0277e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0277e-04 - mean_absolute_error: 0.0077 - val_loss: 1.0092e-04 - val_mean_absolute_error: 0.0079
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 9.8884e-05 - mean_absolute_error: 0.0078 20/126 [===>..........................] - ETA: 0s - loss: 9.8535e-05 - mean_absolute_error: 0.0078 40/126 [========>.....................] - ETA: 0s - loss: 9.4557e-05 - mean_absolute_error: 0.0075 65/126 [==============>...............] - ETA: 0s - loss: 1.1125e-04 - mean_absolute_error: 0.0080 91/126 [====================>.........] - ETA: 0s - loss: 1.0891e-04 - mean_absolute_error: 0.0080118/126 [===========================>..] - ETA: 0s - loss: 1.1475e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1521e-04 - mean_absolute_error: 0.0083 - val_loss: 1.3198e-04 - val_mean_absolute_error: 0.0092
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 8.6368e-05 - mean_absolute_error: 0.0075 18/126 [===>..........................] - ETA: 0s - loss: 8.3836e-05 - mean_absolute_error: 0.0071 40/126 [========>.....................] - ETA: 0s - loss: 1.2067e-04 - mean_absolute_error: 0.0084 66/126 [==============>...............] - ETA: 0s - loss: 1.1960e-04 - mean_absolute_error: 0.0084 92/126 [====================>.........] - ETA: 0s - loss: 1.1177e-04 - mean_absolute_error: 0.0082116/126 [==========================>...] - ETA: 0s - loss: 1.0902e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0781e-04 - mean_absolute_error: 0.0080 - val_loss: 1.1010e-04 - val_mean_absolute_error: 0.0082
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 9.0680e-05 - mean_absolute_error: 0.0078 20/126 [===>..........................] - ETA: 0s - loss: 8.8078e-05 - mean_absolute_error: 0.0071 43/126 [=========>....................] - ETA: 0s - loss: 1.0942e-04 - mean_absolute_error: 0.0082 70/126 [===============>..............] - ETA: 0s - loss: 1.0486e-04 - mean_absolute_error: 0.0079 96/126 [=====================>........] - ETA: 0s - loss: 1.0071e-04 - mean_absolute_error: 0.0077120/126 [===========================>..] - ETA: 0s - loss: 1.0080e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0197e-04 - mean_absolute_error: 0.0077 - val_loss: 1.4471e-04 - val_mean_absolute_error: 0.0098
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 1.7963e-04 - mean_absolute_error: 0.0105 23/126 [====>.........................] - ETA: 0s - loss: 9.9353e-05 - mean_absolute_error: 0.0079 49/126 [==========>...................] - ETA: 0s - loss: 9.3549e-05 - mean_absolute_error: 0.0075 76/126 [=================>............] - ETA: 0s - loss: 9.7244e-05 - mean_absolute_error: 0.0076102/126 [=======================>......] - ETA: 0s - loss: 9.9937e-05 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 9.9903e-05 - mean_absolute_error: 0.0076 - val_loss: 1.2024e-04 - val_mean_absolute_error: 0.0088
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 7.5633e-05 - mean_absolute_error: 0.0073 21/126 [====>.........................] - ETA: 0s - loss: 1.0181e-04 - mean_absolute_error: 0.0078 44/126 [=========>....................] - ETA: 0s - loss: 9.9594e-05 - mean_absolute_error: 0.0076 70/126 [===============>..............] - ETA: 0s - loss: 9.8825e-05 - mean_absolute_error: 0.0075 97/126 [======================>.......] - ETA: 0s - loss: 1.0038e-04 - mean_absolute_error: 0.0076123/126 [============================>.] - ETA: 0s - loss: 1.0322e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0305e-04 - mean_absolute_error: 0.0078 - val_loss: 1.0341e-04 - val_mean_absolute_error: 0.0080
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 7.6414e-05 - mean_absolute_error: 0.0069 22/126 [====>.........................] - ETA: 0s - loss: 1.5762e-04 - mean_absolute_error: 0.0098 47/126 [==========>...................] - ETA: 0s - loss: 1.7539e-04 - mean_absolute_error: 0.0106 73/126 [================>.............] - ETA: 0s - loss: 1.7705e-04 - mean_absolute_error: 0.0106 96/126 [=====================>........] - ETA: 0s - loss: 1.5748e-04 - mean_absolute_error: 0.0099122/126 [============================>.] - ETA: 0s - loss: 1.4500e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 2ms/step - loss: 1.4406e-04 - mean_absolute_error: 0.0093 - val_loss: 9.6150e-05 - val_mean_absolute_error: 0.0075
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 8.9699e-05 - mean_absolute_error: 0.0072 22/126 [====>.........................] - ETA: 0s - loss: 8.6700e-05 - mean_absolute_error: 0.0068 47/126 [==========>...................] - ETA: 0s - loss: 9.4086e-05 - mean_absolute_error: 0.0072 73/126 [================>.............] - ETA: 0s - loss: 9.8074e-05 - mean_absolute_error: 0.0075 97/126 [======================>.......] - ETA: 0s - loss: 1.0542e-04 - mean_absolute_error: 0.0078121/126 [===========================>..] - ETA: 0s - loss: 1.0373e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0368e-04 - mean_absolute_error: 0.0077 - val_loss: 1.1768e-04 - val_mean_absolute_error: 0.0087
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 7.6308e-05 - mean_absolute_error: 0.0066 25/126 [====>.........................] - ETA: 0s - loss: 1.0567e-04 - mean_absolute_error: 0.0078 52/126 [===========>..................] - ETA: 0s - loss: 1.1952e-04 - mean_absolute_error: 0.0085 78/126 [=================>............] - ETA: 0s - loss: 1.2983e-04 - mean_absolute_error: 0.0087105/126 [========================>.....] - ETA: 0s - loss: 1.2242e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 2ms/step - loss: 1.1722e-04 - mean_absolute_error: 0.0083 - val_loss: 2.5964e-04 - val_mean_absolute_error: 0.0138
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 2.1362e-04 - mean_absolute_error: 0.0130 22/126 [====>.........................] - ETA: 0s - loss: 1.0788e-04 - mean_absolute_error: 0.0082 45/126 [=========>....................] - ETA: 0s - loss: 1.2202e-04 - mean_absolute_error: 0.0087 72/126 [================>.............] - ETA: 0s - loss: 1.0991e-04 - mean_absolute_error: 0.0081 98/126 [======================>.......] - ETA: 0s - loss: 1.0639e-04 - mean_absolute_error: 0.0079124/126 [============================>.] - ETA: 0s - loss: 1.0243e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0267e-04 - mean_absolute_error: 0.0077 - val_loss: 1.8114e-04 - val_mean_absolute_error: 0.0111
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 1.3116e-04 - mean_absolute_error: 0.0092 20/126 [===>..........................] - ETA: 0s - loss: 9.7989e-05 - mean_absolute_error: 0.0075 44/126 [=========>....................] - ETA: 0s - loss: 9.5698e-05 - mean_absolute_error: 0.0075 69/126 [===============>..............] - ETA: 0s - loss: 9.4778e-05 - mean_absolute_error: 0.0074 95/126 [=====================>........] - ETA: 0s - loss: 9.7821e-05 - mean_absolute_error: 0.0075118/126 [===========================>..] - ETA: 0s - loss: 1.0197e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0088e-04 - mean_absolute_error: 0.0077 - val_loss: 1.7505e-04 - val_mean_absolute_error: 0.0109
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 1.8476e-04 - mean_absolute_error: 0.0104 24/126 [====>.........................] - ETA: 0s - loss: 1.1765e-04 - mean_absolute_error: 0.0083 50/126 [==========>...................] - ETA: 0s - loss: 1.1411e-04 - mean_absolute_error: 0.0081 74/126 [================>.............] - ETA: 0s - loss: 1.1660e-04 - mean_absolute_error: 0.0083100/126 [======================>.......] - ETA: 0s - loss: 1.1174e-04 - mean_absolute_error: 0.0082125/126 [============================>.] - ETA: 0s - loss: 1.0668e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 2ms/step - loss: 1.0665e-04 - mean_absolute_error: 0.0080 - val_loss: 9.8506e-05 - val_mean_absolute_error: 0.0077
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 8.2428e-05 - mean_absolute_error: 0.0069 26/126 [=====>........................] - ETA: 0s - loss: 9.5737e-05 - mean_absolute_error: 0.0075 51/126 [===========>..................] - ETA: 0s - loss: 9.2067e-05 - mean_absolute_error: 0.0072 77/126 [=================>............] - ETA: 0s - loss: 9.3918e-05 - mean_absolute_error: 0.0074103/126 [=======================>......] - ETA: 0s - loss: 9.6175e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.7459e-05 - mean_absolute_error: 0.0075 - val_loss: 2.4453e-04 - val_mean_absolute_error: 0.0134
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.4170e-04 - mean_absolute_error: 0.0105 18/126 [===>..........................] - ETA: 0s - loss: 1.0388e-04 - mean_absolute_error: 0.0078 41/126 [========>.....................] - ETA: 0s - loss: 1.2757e-04 - mean_absolute_error: 0.0087 65/126 [==============>...............] - ETA: 0s - loss: 1.1724e-04 - mean_absolute_error: 0.0082 91/126 [====================>.........] - ETA: 0s - loss: 1.1716e-04 - mean_absolute_error: 0.0083114/126 [==========================>...] - ETA: 0s - loss: 1.1747e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 3ms/step - loss: 1.2122e-04 - mean_absolute_error: 0.0085 - val_loss: 3.8117e-04 - val_mean_absolute_error: 0.0174
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 3.3546e-04 - mean_absolute_error: 0.0155 23/126 [====>.........................] - ETA: 0s - loss: 1.7433e-04 - mean_absolute_error: 0.0105 50/126 [==========>...................] - ETA: 0s - loss: 1.5149e-04 - mean_absolute_error: 0.0097 76/126 [=================>............] - ETA: 0s - loss: 1.2849e-04 - mean_absolute_error: 0.0087102/126 [=======================>......] - ETA: 0s - loss: 1.1662e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1291e-04 - mean_absolute_error: 0.0081 - val_loss: 9.6695e-05 - val_mean_absolute_error: 0.0076
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 7.3296e-05 - mean_absolute_error: 0.0069 22/126 [====>.........................] - ETA: 0s - loss: 1.7572e-04 - mean_absolute_error: 0.0106 48/126 [==========>...................] - ETA: 0s - loss: 1.5376e-04 - mean_absolute_error: 0.0098 74/126 [================>.............] - ETA: 0s - loss: 1.3612e-04 - mean_absolute_error: 0.0090 98/126 [======================>.......] - ETA: 0s - loss: 1.2530e-04 - mean_absolute_error: 0.0086122/126 [============================>.] - ETA: 0s - loss: 1.1821e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1740e-04 - mean_absolute_error: 0.0083 - val_loss: 9.6482e-05 - val_mean_absolute_error: 0.0076
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 1.5164e-04 - mean_absolute_error: 0.0077 24/126 [====>.........................] - ETA: 0s - loss: 1.2124e-04 - mean_absolute_error: 0.0086 51/126 [===========>..................] - ETA: 0s - loss: 1.3534e-04 - mean_absolute_error: 0.0091 77/126 [=================>............] - ETA: 0s - loss: 1.2189e-04 - mean_absolute_error: 0.0086104/126 [=======================>......] - ETA: 0s - loss: 1.1360e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 2ms/step - loss: 1.0747e-04 - mean_absolute_error: 0.0079 - val_loss: 1.0688e-04 - val_mean_absolute_error: 0.0081
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 5.4744e-05 - mean_absolute_error: 0.0062 19/126 [===>..........................] - ETA: 0s - loss: 9.0590e-05 - mean_absolute_error: 0.0074 41/126 [========>.....................] - ETA: 0s - loss: 1.0132e-04 - mean_absolute_error: 0.0079 66/126 [==============>...............] - ETA: 0s - loss: 1.1575e-04 - mean_absolute_error: 0.0085 92/126 [====================>.........] - ETA: 0s - loss: 1.1289e-04 - mean_absolute_error: 0.0082117/126 [==========================>...] - ETA: 0s - loss: 1.0800e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0657e-04 - mean_absolute_error: 0.0079 - val_loss: 1.2654e-04 - val_mean_absolute_error: 0.0089
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 2.1655e-04 - mean_absolute_error: 0.0100 25/126 [====>.........................] - ETA: 0s - loss: 1.0788e-04 - mean_absolute_error: 0.0079 51/126 [===========>..................] - ETA: 0s - loss: 1.0937e-04 - mean_absolute_error: 0.0079 77/126 [=================>............] - ETA: 0s - loss: 1.0260e-04 - mean_absolute_error: 0.0077102/126 [=======================>......] - ETA: 0s - loss: 9.7833e-05 - mean_absolute_error: 0.0075126/126 [==============================] - ETA: 0s - loss: 9.5162e-05 - mean_absolute_error: 0.0074126/126 [==============================] - 0s 2ms/step - loss: 9.5162e-05 - mean_absolute_error: 0.0074 - val_loss: 1.1169e-04 - val_mean_absolute_error: 0.0084
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 6.5952e-05 - mean_absolute_error: 0.0068 25/126 [====>.........................] - ETA: 0s - loss: 1.1883e-04 - mean_absolute_error: 0.0084 52/126 [===========>..................] - ETA: 0s - loss: 1.2463e-04 - mean_absolute_error: 0.0087 76/126 [=================>............] - ETA: 0s - loss: 1.1542e-04 - mean_absolute_error: 0.0083101/126 [=======================>......] - ETA: 0s - loss: 1.1372e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 2ms/step - loss: 1.0787e-04 - mean_absolute_error: 0.0080 - val_loss: 1.0018e-04 - val_mean_absolute_error: 0.0078
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 8.1279e-05 - mean_absolute_error: 0.0071 21/126 [====>.........................] - ETA: 0s - loss: 9.4393e-05 - mean_absolute_error: 0.0074 45/126 [=========>....................] - ETA: 0s - loss: 1.2681e-04 - mean_absolute_error: 0.0085 71/126 [===============>..............] - ETA: 0s - loss: 1.3192e-04 - mean_absolute_error: 0.0088 96/126 [=====================>........] - ETA: 0s - loss: 1.2102e-04 - mean_absolute_error: 0.0084123/126 [============================>.] - ETA: 0s - loss: 1.1787e-04 - mean_absolute_error: 0.0083126/126 [==============================] - 0s 2ms/step - loss: 1.1732e-04 - mean_absolute_error: 0.0083 - val_loss: 9.3018e-05 - val_mean_absolute_error: 0.0074
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 6.7367e-05 - mean_absolute_error: 0.0062 22/126 [====>.........................] - ETA: 0s - loss: 9.5623e-05 - mean_absolute_error: 0.0073 46/126 [=========>....................] - ETA: 0s - loss: 8.5910e-05 - mean_absolute_error: 0.0071 72/126 [================>.............] - ETA: 0s - loss: 8.8902e-05 - mean_absolute_error: 0.0073 97/126 [======================>.......] - ETA: 0s - loss: 9.3240e-05 - mean_absolute_error: 0.0075124/126 [============================>.] - ETA: 0s - loss: 1.0270e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0297e-04 - mean_absolute_error: 0.0078 - val_loss: 1.2077e-04 - val_mean_absolute_error: 0.0087
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 1.0491e-04 - mean_absolute_error: 0.0083 22/126 [====>.........................] - ETA: 0s - loss: 1.0304e-04 - mean_absolute_error: 0.0077 45/126 [=========>....................] - ETA: 0s - loss: 1.0536e-04 - mean_absolute_error: 0.0079 70/126 [===============>..............] - ETA: 0s - loss: 1.0013e-04 - mean_absolute_error: 0.0076 96/126 [=====================>........] - ETA: 0s - loss: 1.0782e-04 - mean_absolute_error: 0.0080121/126 [===========================>..] - ETA: 0s - loss: 1.0290e-04 - mean_absolute_error: 0.0078126/126 [==============================] - 0s 2ms/step - loss: 1.0210e-04 - mean_absolute_error: 0.0078 - val_loss: 9.2391e-05 - val_mean_absolute_error: 0.0073
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 6.8687e-05 - mean_absolute_error: 0.0066 22/126 [====>.........................] - ETA: 0s - loss: 9.5528e-05 - mean_absolute_error: 0.0076 47/126 [==========>...................] - ETA: 0s - loss: 9.4836e-05 - mean_absolute_error: 0.0075 74/126 [================>.............] - ETA: 0s - loss: 9.8576e-05 - mean_absolute_error: 0.0075100/126 [======================>.......] - ETA: 0s - loss: 9.9621e-05 - mean_absolute_error: 0.0076122/126 [============================>.] - ETA: 0s - loss: 9.6444e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.7687e-05 - mean_absolute_error: 0.0075 - val_loss: 1.6963e-04 - val_mean_absolute_error: 0.0108
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.3214e-04 - mean_absolute_error: 0.0094 24/126 [====>.........................] - ETA: 0s - loss: 1.1561e-04 - mean_absolute_error: 0.0086 51/126 [===========>..................] - ETA: 0s - loss: 9.7032e-05 - mean_absolute_error: 0.0076 77/126 [=================>............] - ETA: 0s - loss: 1.0610e-04 - mean_absolute_error: 0.0078103/126 [=======================>......] - ETA: 0s - loss: 1.0203e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 1.0311e-04 - mean_absolute_error: 0.0078 - val_loss: 1.3503e-04 - val_mean_absolute_error: 0.0092
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 1.2285e-04 - mean_absolute_error: 0.0076 22/126 [====>.........................] - ETA: 0s - loss: 1.4413e-04 - mean_absolute_error: 0.0095 46/126 [=========>....................] - ETA: 0s - loss: 1.1298e-04 - mean_absolute_error: 0.0083 72/126 [================>.............] - ETA: 0s - loss: 1.0938e-04 - mean_absolute_error: 0.0080 98/126 [======================>.......] - ETA: 0s - loss: 1.2908e-04 - mean_absolute_error: 0.0088122/126 [============================>.] - ETA: 0s - loss: 1.3274e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 2ms/step - loss: 1.3341e-04 - mean_absolute_error: 0.0090 - val_loss: 9.9192e-05 - val_mean_absolute_error: 0.0077
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 8.5897e-05 - mean_absolute_error: 0.0073 24/126 [====>.........................] - ETA: 0s - loss: 1.0817e-04 - mean_absolute_error: 0.0081 49/126 [==========>...................] - ETA: 0s - loss: 1.1603e-04 - mean_absolute_error: 0.0084 75/126 [================>.............] - ETA: 0s - loss: 1.1372e-04 - mean_absolute_error: 0.0083101/126 [=======================>......] - ETA: 0s - loss: 1.1352e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 2ms/step - loss: 1.1313e-04 - mean_absolute_error: 0.0082 - val_loss: 2.0478e-04 - val_mean_absolute_error: 0.0118
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 1.5966e-04 - mean_absolute_error: 0.0101 23/126 [====>.........................] - ETA: 0s - loss: 9.4503e-05 - mean_absolute_error: 0.0076 49/126 [==========>...................] - ETA: 0s - loss: 1.0023e-04 - mean_absolute_error: 0.0075 74/126 [================>.............] - ETA: 0s - loss: 1.0188e-04 - mean_absolute_error: 0.0077101/126 [=======================>......] - ETA: 0s - loss: 9.7088e-05 - mean_absolute_error: 0.0075126/126 [==============================] - 0s 2ms/step - loss: 9.7058e-05 - mean_absolute_error: 0.0075 - val_loss: 1.2613e-04 - val_mean_absolute_error: 0.0089
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 1.1015e-04 - mean_absolute_error: 0.0088 17/126 [===>..........................] - ETA: 0s - loss: 8.9213e-05 - mean_absolute_error: 0.0070 35/126 [=======>......................] - ETA: 0s - loss: 9.3237e-05 - mean_absolute_error: 0.0072 61/126 [=============>................] - ETA: 0s - loss: 9.7678e-05 - mean_absolute_error: 0.0074 86/126 [===================>..........] - ETA: 0s - loss: 9.5474e-05 - mean_absolute_error: 0.0074110/126 [=========================>....] - ETA: 0s - loss: 1.0142e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0626e-04 - mean_absolute_error: 0.0079 - val_loss: 1.0250e-04 - val_mean_absolute_error: 0.0079
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 4.3012e-05 - mean_absolute_error: 0.0053 25/126 [====>.........................] - ETA: 0s - loss: 7.9394e-05 - mean_absolute_error: 0.0070 51/126 [===========>..................] - ETA: 0s - loss: 8.8694e-05 - mean_absolute_error: 0.0073 75/126 [================>.............] - ETA: 0s - loss: 8.9995e-05 - mean_absolute_error: 0.0073100/126 [======================>.......] - ETA: 0s - loss: 9.7237e-05 - mean_absolute_error: 0.0076124/126 [============================>.] - ETA: 0s - loss: 9.9147e-05 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 2ms/step - loss: 9.8791e-05 - mean_absolute_error: 0.0077 - val_loss: 1.4899e-04 - val_mean_absolute_error: 0.0098
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 1.5677e-04 - mean_absolute_error: 0.0102 24/126 [====>.........................] - ETA: 0s - loss: 9.5259e-05 - mean_absolute_error: 0.0074 49/126 [==========>...................] - ETA: 0s - loss: 9.0284e-05 - mean_absolute_error: 0.0073 74/126 [================>.............] - ETA: 0s - loss: 9.2897e-05 - mean_absolute_error: 0.0074100/126 [======================>.......] - ETA: 0s - loss: 8.9772e-05 - mean_absolute_error: 0.0072125/126 [============================>.] - ETA: 0s - loss: 9.1144e-05 - mean_absolute_error: 0.0073126/126 [==============================] - 0s 2ms/step - loss: 9.1157e-05 - mean_absolute_error: 0.0073 - val_loss: 9.0953e-05 - val_mean_absolute_error: 0.0074
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 7.8533e-05 - mean_absolute_error: 0.0071 20/126 [===>..........................] - ETA: 0s - loss: 7.9429e-05 - mean_absolute_error: 0.0070 45/126 [=========>....................] - ETA: 0s - loss: 8.0522e-05 - mean_absolute_error: 0.0070 68/126 [===============>..............] - ETA: 0s - loss: 8.4584e-05 - mean_absolute_error: 0.0071 92/126 [====================>.........] - ETA: 0s - loss: 8.5158e-05 - mean_absolute_error: 0.0070109/126 [========================>.....] - ETA: 0s - loss: 8.7596e-05 - mean_absolute_error: 0.0071126/126 [==============================] - ETA: 0s - loss: 8.9553e-05 - mean_absolute_error: 0.0072126/126 [==============================] - 0s 3ms/step - loss: 8.9553e-05 - mean_absolute_error: 0.0072 - val_loss: 1.3240e-04 - val_mean_absolute_error: 0.0091
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 2.3842e-04 - mean_absolute_error: 0.0110 18/126 [===>..........................] - ETA: 0s - loss: 1.0717e-04 - mean_absolute_error: 0.0080 35/126 [=======>......................] - ETA: 0s - loss: 1.1608e-04 - mean_absolute_error: 0.0083 52/126 [===========>..................] - ETA: 0s - loss: 1.1376e-04 - mean_absolute_error: 0.0081 69/126 [===============>..............] - ETA: 0s - loss: 1.0707e-04 - mean_absolute_error: 0.0079 87/126 [===================>..........] - ETA: 0s - loss: 1.0986e-04 - mean_absolute_error: 0.0081105/126 [========================>.....] - ETA: 0s - loss: 1.0701e-04 - mean_absolute_error: 0.0080122/126 [============================>.] - ETA: 0s - loss: 1.0542e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0542e-04 - mean_absolute_error: 0.0080 - val_loss: 1.7570e-04 - val_mean_absolute_error: 0.0110
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 1.7990e-04 - mean_absolute_error: 0.0114 17/126 [===>..........................] - ETA: 0s - loss: 1.2093e-04 - mean_absolute_error: 0.0085 35/126 [=======>......................] - ETA: 0s - loss: 1.1683e-04 - mean_absolute_error: 0.0084 52/126 [===========>..................] - ETA: 0s - loss: 1.0832e-04 - mean_absolute_error: 0.0080 69/126 [===============>..............] - ETA: 0s - loss: 1.0155e-04 - mean_absolute_error: 0.0077 86/126 [===================>..........] - ETA: 0s - loss: 9.9720e-05 - mean_absolute_error: 0.0077104/126 [=======================>......] - ETA: 0s - loss: 1.0267e-04 - mean_absolute_error: 0.0078121/126 [===========================>..] - ETA: 0s - loss: 1.0174e-04 - mean_absolute_error: 0.0077126/126 [==============================] - 0s 3ms/step - loss: 1.0102e-04 - mean_absolute_error: 0.0077 - val_loss: 1.0686e-04 - val_mean_absolute_error: 0.0082
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 1.3895e-04 - mean_absolute_error: 0.0092 19/126 [===>..........................] - ETA: 0s - loss: 1.3886e-04 - mean_absolute_error: 0.0095 36/126 [=======>......................] - ETA: 0s - loss: 1.2364e-04 - mean_absolute_error: 0.0087 54/126 [===========>..................] - ETA: 0s - loss: 1.2104e-04 - mean_absolute_error: 0.0086 71/126 [===============>..............] - ETA: 0s - loss: 1.1159e-04 - mean_absolute_error: 0.0082 87/126 [===================>..........] - ETA: 0s - loss: 1.0846e-04 - mean_absolute_error: 0.0081104/126 [=======================>......] - ETA: 0s - loss: 1.0802e-04 - mean_absolute_error: 0.0081121/126 [===========================>..] - ETA: 0s - loss: 1.0684e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0634e-04 - mean_absolute_error: 0.0079 - val_loss: 1.0855e-04 - val_mean_absolute_error: 0.0083
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 6.1188e-05 - mean_absolute_error: 0.0064 19/126 [===>..........................] - ETA: 0s - loss: 1.1099e-04 - mean_absolute_error: 0.0083 37/126 [=======>......................] - ETA: 0s - loss: 1.1058e-04 - mean_absolute_error: 0.0082 56/126 [============>.................] - ETA: 0s - loss: 1.0469e-04 - mean_absolute_error: 0.0080 73/126 [================>.............] - ETA: 0s - loss: 1.0507e-04 - mean_absolute_error: 0.0080 90/126 [====================>.........] - ETA: 0s - loss: 1.0932e-04 - mean_absolute_error: 0.0081107/126 [========================>.....] - ETA: 0s - loss: 1.1017e-04 - mean_absolute_error: 0.0081124/126 [============================>.] - ETA: 0s - loss: 1.0792e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 3ms/step - loss: 1.0745e-04 - mean_absolute_error: 0.0080 - val_loss: 9.5179e-05 - val_mean_absolute_error: 0.0077

<keras.src.callbacks.History at 0x28ea24ba890>

After the training and fitting of the Machine Learning model for Canada, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Austrailia with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
canada_train_pred = canada_model.predict(X_canada_train).flatten()

plt.plot(dates_canada_train, canada_train_pred, linewidth=4)
plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Training Set Predictions vs. Observations")
plt.show()

canada_val_pred = canada_model.predict(X_canada_val).flatten()

plt.plot(dates_canada_val, canada_val_pred, linewidth=4)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Validation Set Predictions vs. Observations")
plt.show()

canada_test_pred = canada_model.predict(X_canada_test).flatten()

plt.plot(dates_canada_test, canada_test_pred, linewidth=4)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Canada - Testing Set Predictions vs. Observations")
plt.show()
```

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 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Canada’s international currency rate with the United States.

```{python}
# Plotting Canada's observational (reference) data with the predictions of its 
# Machine Learning Model (as a way to visually inspect the effectiveness of the 
# model) 
plt.plot(dates_canada_train, canada_train_pred, linewidth=4)
plt.plot(dates_canada_train, y_canada_train, linewidth=1)
plt.plot(dates_canada_val, canada_val_pred, linewidth=4)
plt.plot(dates_canada_val, y_canada_val, linewidth=1)
plt.plot(dates_canada_test, canada_test_pred, linewidth=4)
plt.plot(dates_canada_test, y_canada_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"], loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations")
plt.show()
```

Then, I worked on the United Kingdom’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split the United Kingdom’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting United Kingdom's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_united_kingdom_train, X_united_kingdom_train, y_united_kingdom_train = dates_united_kingdom[:percentile_80], X_united_kingdom[:percentile_80], y_united_kingdom[:percentile_80]
dates_united_kingdom_val, X_united_kingdom_val, y_united_kingdom_val = dates_united_kingdom[percentile_80:percentile_90], X_united_kingdom[percentile_80:percentile_90], y_united_kingdom[percentile_80:percentile_90]
dates_united_kingdom_test, X_united_kingdom_test, y_united_kingdom_test = dates_united_kingdom[percentile_90:], X_united_kingdom[percentile_90:], y_united_kingdom[percentile_90:]

plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of United Kingdom's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for United Kingdom
united_kingdom_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

united_kingdom_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

united_kingdom_model.fit(X_united_kingdom_train, y_united_kingdom_train, validation_data=(X_united_kingdom_val, y_united_kingdom_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:27 - loss: 0.3573 - mean_absolute_error: 0.5944 16/126 [==>...........................] - ETA: 0s - loss: 0.2666 - mean_absolute_error: 0.5101   31/126 [======>.......................] - ETA: 0s - loss: 0.1632 - mean_absolute_error: 0.3569 48/126 [==========>...................] - ETA: 0s - loss: 0.1081 - mean_absolute_error: 0.2574 65/126 [==============>...............] - ETA: 0s - loss: 0.0804 - mean_absolute_error: 0.1999 82/126 [==================>...........] - ETA: 0s - loss: 0.0639 - mean_absolute_error: 0.1633 99/126 [======================>.......] - ETA: 0s - loss: 0.0530 - mean_absolute_error: 0.1392116/126 [==========================>...] - ETA: 0s - loss: 0.0454 - mean_absolute_error: 0.1218126/126 [==============================] - 2s 7ms/step - loss: 0.0420 - mean_absolute_error: 0.1142 - val_loss: 0.0033 - val_mean_absolute_error: 0.0543
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 8.4138e-04 - mean_absolute_error: 0.0230 18/126 [===>..........................] - ETA: 0s - loss: 6.7777e-04 - mean_absolute_error: 0.0215 35/126 [=======>......................] - ETA: 0s - loss: 6.4573e-04 - mean_absolute_error: 0.0207 53/126 [===========>..................] - ETA: 0s - loss: 6.1892e-04 - mean_absolute_error: 0.0202 72/126 [================>.............] - ETA: 0s - loss: 6.0102e-04 - mean_absolute_error: 0.0199 91/126 [====================>.........] - ETA: 0s - loss: 5.9692e-04 - mean_absolute_error: 0.0199110/126 [=========================>....] - ETA: 0s - loss: 5.7944e-04 - mean_absolute_error: 0.0196126/126 [==============================] - 0s 3ms/step - loss: 5.6368e-04 - mean_absolute_error: 0.0193 - val_loss: 0.0029 - val_mean_absolute_error: 0.0516
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 4.7308e-04 - mean_absolute_error: 0.0183 18/126 [===>..........................] - ETA: 0s - loss: 4.9172e-04 - mean_absolute_error: 0.0180 35/126 [=======>......................] - ETA: 0s - loss: 4.6952e-04 - mean_absolute_error: 0.0177 52/126 [===========>..................] - ETA: 0s - loss: 4.4883e-04 - mean_absolute_error: 0.0173 69/126 [===============>..............] - ETA: 0s - loss: 4.3612e-04 - mean_absolute_error: 0.0170 86/126 [===================>..........] - ETA: 0s - loss: 4.3053e-04 - mean_absolute_error: 0.0168104/126 [=======================>......] - ETA: 0s - loss: 4.1795e-04 - mean_absolute_error: 0.0166122/126 [============================>.] - ETA: 0s - loss: 4.0746e-04 - mean_absolute_error: 0.0163126/126 [==============================] - 0s 3ms/step - loss: 4.0661e-04 - mean_absolute_error: 0.0163 - val_loss: 0.0020 - val_mean_absolute_error: 0.0430
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 3.1838e-04 - mean_absolute_error: 0.0153 18/126 [===>..........................] - ETA: 0s - loss: 3.1682e-04 - mean_absolute_error: 0.0145 35/126 [=======>......................] - ETA: 0s - loss: 3.1782e-04 - mean_absolute_error: 0.0146 52/126 [===========>..................] - ETA: 0s - loss: 3.1109e-04 - mean_absolute_error: 0.0144 69/126 [===============>..............] - ETA: 0s - loss: 3.0646e-04 - mean_absolute_error: 0.0143 86/126 [===================>..........] - ETA: 0s - loss: 2.8838e-04 - mean_absolute_error: 0.0138103/126 [=======================>......] - ETA: 0s - loss: 2.7590e-04 - mean_absolute_error: 0.0134120/126 [===========================>..] - ETA: 0s - loss: 2.6515e-04 - mean_absolute_error: 0.0131126/126 [==============================] - 0s 3ms/step - loss: 2.6153e-04 - mean_absolute_error: 0.0130 - val_loss: 8.7634e-04 - val_mean_absolute_error: 0.0278
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.6234e-04 - mean_absolute_error: 0.0106 18/126 [===>..........................] - ETA: 0s - loss: 1.7627e-04 - mean_absolute_error: 0.0107 34/126 [=======>......................] - ETA: 0s - loss: 1.6377e-04 - mean_absolute_error: 0.0103 50/126 [==========>...................] - ETA: 0s - loss: 1.6280e-04 - mean_absolute_error: 0.0102 67/126 [==============>...............] - ETA: 0s - loss: 1.5915e-04 - mean_absolute_error: 0.0101 84/126 [===================>..........] - ETA: 0s - loss: 1.5348e-04 - mean_absolute_error: 0.0099102/126 [=======================>......] - ETA: 0s - loss: 1.4922e-04 - mean_absolute_error: 0.0098119/126 [===========================>..] - ETA: 0s - loss: 1.4243e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 0s 3ms/step - loss: 1.3932e-04 - mean_absolute_error: 0.0094 - val_loss: 3.9950e-04 - val_mean_absolute_error: 0.0182
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 7.9095e-05 - mean_absolute_error: 0.0070 19/126 [===>..........................] - ETA: 0s - loss: 9.1169e-05 - mean_absolute_error: 0.0075 36/126 [=======>......................] - ETA: 0s - loss: 8.2397e-05 - mean_absolute_error: 0.0071 53/126 [===========>..................] - ETA: 0s - loss: 7.6144e-05 - mean_absolute_error: 0.0068 70/126 [===============>..............] - ETA: 0s - loss: 7.0145e-05 - mean_absolute_error: 0.0065 87/126 [===================>..........] - ETA: 0s - loss: 6.8652e-05 - mean_absolute_error: 0.0065104/126 [=======================>......] - ETA: 0s - loss: 6.5459e-05 - mean_absolute_error: 0.0063121/126 [===========================>..] - ETA: 0s - loss: 6.2832e-05 - mean_absolute_error: 0.0062126/126 [==============================] - 0s 3ms/step - loss: 6.2104e-05 - mean_absolute_error: 0.0061 - val_loss: 8.6069e-05 - val_mean_absolute_error: 0.0069
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 2.9334e-05 - mean_absolute_error: 0.0041 18/126 [===>..........................] - ETA: 0s - loss: 3.6007e-05 - mean_absolute_error: 0.0046 35/126 [=======>......................] - ETA: 0s - loss: 3.6432e-05 - mean_absolute_error: 0.0045 52/126 [===========>..................] - ETA: 0s - loss: 3.6047e-05 - mean_absolute_error: 0.0045 69/126 [===============>..............] - ETA: 0s - loss: 3.5371e-05 - mean_absolute_error: 0.0044 86/126 [===================>..........] - ETA: 0s - loss: 3.5275e-05 - mean_absolute_error: 0.0044103/126 [=======================>......] - ETA: 0s - loss: 3.7062e-05 - mean_absolute_error: 0.0045120/126 [===========================>..] - ETA: 0s - loss: 3.6677e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7305e-05 - mean_absolute_error: 0.0045 - val_loss: 7.7805e-05 - val_mean_absolute_error: 0.0066
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 2.2944e-05 - mean_absolute_error: 0.0038 19/126 [===>..........................] - ETA: 0s - loss: 3.3679e-05 - mean_absolute_error: 0.0043 38/126 [========>.....................] - ETA: 0s - loss: 3.7064e-05 - mean_absolute_error: 0.0044 57/126 [============>.................] - ETA: 0s - loss: 3.8680e-05 - mean_absolute_error: 0.0045 75/126 [================>.............] - ETA: 0s - loss: 3.6688e-05 - mean_absolute_error: 0.0043 92/126 [====================>.........] - ETA: 0s - loss: 3.6681e-05 - mean_absolute_error: 0.0043110/126 [=========================>....] - ETA: 0s - loss: 3.6399e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.6034e-05 - mean_absolute_error: 0.0043 - val_loss: 8.7303e-05 - val_mean_absolute_error: 0.0072
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 5.0606e-05 - mean_absolute_error: 0.0054 19/126 [===>..........................] - ETA: 0s - loss: 3.7197e-05 - mean_absolute_error: 0.0044 38/126 [========>.....................] - ETA: 0s - loss: 3.5899e-05 - mean_absolute_error: 0.0044 55/126 [============>.................] - ETA: 0s - loss: 3.3495e-05 - mean_absolute_error: 0.0042 72/126 [================>.............] - ETA: 0s - loss: 3.3568e-05 - mean_absolute_error: 0.0042 89/126 [====================>.........] - ETA: 0s - loss: 3.5127e-05 - mean_absolute_error: 0.0043107/126 [========================>.....] - ETA: 0s - loss: 3.5682e-05 - mean_absolute_error: 0.0043124/126 [============================>.] - ETA: 0s - loss: 3.5592e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5741e-05 - mean_absolute_error: 0.0043 - val_loss: 7.8578e-05 - val_mean_absolute_error: 0.0066
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 2.6633e-05 - mean_absolute_error: 0.0039 18/126 [===>..........................] - ETA: 0s - loss: 4.1984e-05 - mean_absolute_error: 0.0047 35/126 [=======>......................] - ETA: 0s - loss: 4.0620e-05 - mean_absolute_error: 0.0046 54/126 [===========>..................] - ETA: 0s - loss: 3.8246e-05 - mean_absolute_error: 0.0045 73/126 [================>.............] - ETA: 0s - loss: 3.6773e-05 - mean_absolute_error: 0.0044 90/126 [====================>.........] - ETA: 0s - loss: 3.6567e-05 - mean_absolute_error: 0.0044106/126 [========================>.....] - ETA: 0s - loss: 3.5920e-05 - mean_absolute_error: 0.0044124/126 [============================>.] - ETA: 0s - loss: 3.6425e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6414e-05 - mean_absolute_error: 0.0044 - val_loss: 7.3905e-05 - val_mean_absolute_error: 0.0060
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 3.0081e-05 - mean_absolute_error: 0.0044 19/126 [===>..........................] - ETA: 0s - loss: 3.2203e-05 - mean_absolute_error: 0.0041 36/126 [=======>......................] - ETA: 0s - loss: 3.2365e-05 - mean_absolute_error: 0.0041 53/126 [===========>..................] - ETA: 0s - loss: 3.4370e-05 - mean_absolute_error: 0.0041 70/126 [===============>..............] - ETA: 0s - loss: 3.3226e-05 - mean_absolute_error: 0.0040 87/126 [===================>..........] - ETA: 0s - loss: 3.3525e-05 - mean_absolute_error: 0.0041104/126 [=======================>......] - ETA: 0s - loss: 3.4622e-05 - mean_absolute_error: 0.0042120/126 [===========================>..] - ETA: 0s - loss: 3.5381e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.5595e-05 - mean_absolute_error: 0.0042 - val_loss: 7.6046e-05 - val_mean_absolute_error: 0.0065
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 1.9000e-05 - mean_absolute_error: 0.0030 18/126 [===>..........................] - ETA: 0s - loss: 4.2765e-05 - mean_absolute_error: 0.0048 35/126 [=======>......................] - ETA: 0s - loss: 3.9398e-05 - mean_absolute_error: 0.0047 52/126 [===========>..................] - ETA: 0s - loss: 3.8683e-05 - mean_absolute_error: 0.0046 70/126 [===============>..............] - ETA: 0s - loss: 3.8976e-05 - mean_absolute_error: 0.0046 85/126 [===================>..........] - ETA: 0s - loss: 3.7900e-05 - mean_absolute_error: 0.0045102/126 [=======================>......] - ETA: 0s - loss: 3.6925e-05 - mean_absolute_error: 0.0045119/126 [===========================>..] - ETA: 0s - loss: 3.6586e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6574e-05 - mean_absolute_error: 0.0044 - val_loss: 8.3947e-05 - val_mean_absolute_error: 0.0070
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 3.3605e-05 - mean_absolute_error: 0.0046 18/126 [===>..........................] - ETA: 0s - loss: 3.6087e-05 - mean_absolute_error: 0.0044 35/126 [=======>......................] - ETA: 0s - loss: 3.7352e-05 - mean_absolute_error: 0.0044 52/126 [===========>..................] - ETA: 0s - loss: 3.6899e-05 - mean_absolute_error: 0.0045 69/126 [===============>..............] - ETA: 0s - loss: 3.5954e-05 - mean_absolute_error: 0.0044 86/126 [===================>..........] - ETA: 0s - loss: 3.6652e-05 - mean_absolute_error: 0.0044103/126 [=======================>......] - ETA: 0s - loss: 3.7054e-05 - mean_absolute_error: 0.0044119/126 [===========================>..] - ETA: 0s - loss: 3.6839e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.6244e-05 - mean_absolute_error: 0.0044 - val_loss: 7.4857e-05 - val_mean_absolute_error: 0.0064
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 2.6273e-05 - mean_absolute_error: 0.0036 18/126 [===>..........................] - ETA: 0s - loss: 3.8683e-05 - mean_absolute_error: 0.0046 35/126 [=======>......................] - ETA: 0s - loss: 3.9825e-05 - mean_absolute_error: 0.0046 52/126 [===========>..................] - ETA: 0s - loss: 3.7466e-05 - mean_absolute_error: 0.0045 69/126 [===============>..............] - ETA: 0s - loss: 3.6523e-05 - mean_absolute_error: 0.0044 86/126 [===================>..........] - ETA: 0s - loss: 3.6565e-05 - mean_absolute_error: 0.0044103/126 [=======================>......] - ETA: 0s - loss: 3.6294e-05 - mean_absolute_error: 0.0044121/126 [===========================>..] - ETA: 0s - loss: 3.5831e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.6265e-05 - mean_absolute_error: 0.0043 - val_loss: 6.8054e-05 - val_mean_absolute_error: 0.0055
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 3.1975e-05 - mean_absolute_error: 0.0040 18/126 [===>..........................] - ETA: 0s - loss: 3.2417e-05 - mean_absolute_error: 0.0040 36/126 [=======>......................] - ETA: 0s - loss: 3.5144e-05 - mean_absolute_error: 0.0042 52/126 [===========>..................] - ETA: 0s - loss: 3.9033e-05 - mean_absolute_error: 0.0046 68/126 [===============>..............] - ETA: 0s - loss: 4.0648e-05 - mean_absolute_error: 0.0047 85/126 [===================>..........] - ETA: 0s - loss: 4.1294e-05 - mean_absolute_error: 0.0048102/126 [=======================>......] - ETA: 0s - loss: 4.1031e-05 - mean_absolute_error: 0.0048119/126 [===========================>..] - ETA: 0s - loss: 4.0617e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0207e-05 - mean_absolute_error: 0.0047 - val_loss: 6.7270e-05 - val_mean_absolute_error: 0.0057
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 2.8192e-05 - mean_absolute_error: 0.0040 18/126 [===>..........................] - ETA: 0s - loss: 3.8372e-05 - mean_absolute_error: 0.0045 35/126 [=======>......................] - ETA: 0s - loss: 4.0965e-05 - mean_absolute_error: 0.0046 52/126 [===========>..................] - ETA: 0s - loss: 4.2936e-05 - mean_absolute_error: 0.0049 69/126 [===============>..............] - ETA: 0s - loss: 4.0587e-05 - mean_absolute_error: 0.0048 86/126 [===================>..........] - ETA: 0s - loss: 3.8341e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.7419e-05 - mean_absolute_error: 0.0045122/126 [============================>.] - ETA: 0s - loss: 3.7843e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7769e-05 - mean_absolute_error: 0.0045 - val_loss: 6.7468e-05 - val_mean_absolute_error: 0.0055
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 2.8836e-05 - mean_absolute_error: 0.0040 18/126 [===>..........................] - ETA: 0s - loss: 3.5332e-05 - mean_absolute_error: 0.0042 35/126 [=======>......................] - ETA: 0s - loss: 3.6938e-05 - mean_absolute_error: 0.0043 53/126 [===========>..................] - ETA: 0s - loss: 3.7023e-05 - mean_absolute_error: 0.0043 70/126 [===============>..............] - ETA: 0s - loss: 3.6436e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.6080e-05 - mean_absolute_error: 0.0043106/126 [========================>.....] - ETA: 0s - loss: 3.6648e-05 - mean_absolute_error: 0.0044124/126 [============================>.] - ETA: 0s - loss: 3.6775e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.7014e-05 - mean_absolute_error: 0.0044 - val_loss: 6.6332e-05 - val_mean_absolute_error: 0.0055
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 3.3824e-05 - mean_absolute_error: 0.0040 19/126 [===>..........................] - ETA: 0s - loss: 3.7219e-05 - mean_absolute_error: 0.0046 38/126 [========>.....................] - ETA: 0s - loss: 3.6903e-05 - mean_absolute_error: 0.0045 57/126 [============>.................] - ETA: 0s - loss: 3.6423e-05 - mean_absolute_error: 0.0044 76/126 [=================>............] - ETA: 0s - loss: 3.6919e-05 - mean_absolute_error: 0.0045 93/126 [=====================>........] - ETA: 0s - loss: 3.6399e-05 - mean_absolute_error: 0.0044110/126 [=========================>....] - ETA: 0s - loss: 3.7515e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7063e-05 - mean_absolute_error: 0.0044 - val_loss: 7.0086e-05 - val_mean_absolute_error: 0.0059
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 2.2956e-05 - mean_absolute_error: 0.0032 18/126 [===>..........................] - ETA: 0s - loss: 3.0659e-05 - mean_absolute_error: 0.0041 36/126 [=======>......................] - ETA: 0s - loss: 3.5794e-05 - mean_absolute_error: 0.0044 54/126 [===========>..................] - ETA: 0s - loss: 3.4963e-05 - mean_absolute_error: 0.0044 71/126 [===============>..............] - ETA: 0s - loss: 3.4596e-05 - mean_absolute_error: 0.0043 88/126 [===================>..........] - ETA: 0s - loss: 3.3424e-05 - mean_absolute_error: 0.0042104/126 [=======================>......] - ETA: 0s - loss: 3.4482e-05 - mean_absolute_error: 0.0043121/126 [===========================>..] - ETA: 0s - loss: 3.5242e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.5718e-05 - mean_absolute_error: 0.0044 - val_loss: 7.3436e-05 - val_mean_absolute_error: 0.0063
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 5.6126e-05 - mean_absolute_error: 0.0062 17/126 [===>..........................] - ETA: 0s - loss: 4.6725e-05 - mean_absolute_error: 0.0052 35/126 [=======>......................] - ETA: 0s - loss: 4.0183e-05 - mean_absolute_error: 0.0047 52/126 [===========>..................] - ETA: 0s - loss: 3.8443e-05 - mean_absolute_error: 0.0047 68/126 [===============>..............] - ETA: 0s - loss: 3.8688e-05 - mean_absolute_error: 0.0047 85/126 [===================>..........] - ETA: 0s - loss: 3.8565e-05 - mean_absolute_error: 0.0046102/126 [=======================>......] - ETA: 0s - loss: 3.7514e-05 - mean_absolute_error: 0.0045119/126 [===========================>..] - ETA: 0s - loss: 3.7751e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7383e-05 - mean_absolute_error: 0.0045 - val_loss: 6.8795e-05 - val_mean_absolute_error: 0.0060
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 4.1869e-05 - mean_absolute_error: 0.0050 18/126 [===>..........................] - ETA: 0s - loss: 3.9266e-05 - mean_absolute_error: 0.0045 35/126 [=======>......................] - ETA: 0s - loss: 3.6401e-05 - mean_absolute_error: 0.0043 52/126 [===========>..................] - ETA: 0s - loss: 3.7154e-05 - mean_absolute_error: 0.0043 70/126 [===============>..............] - ETA: 0s - loss: 3.7208e-05 - mean_absolute_error: 0.0044 88/126 [===================>..........] - ETA: 0s - loss: 3.6923e-05 - mean_absolute_error: 0.0044107/126 [========================>.....] - ETA: 0s - loss: 3.7101e-05 - mean_absolute_error: 0.0045126/126 [==============================] - ETA: 0s - loss: 3.8746e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8746e-05 - mean_absolute_error: 0.0046 - val_loss: 1.0368e-04 - val_mean_absolute_error: 0.0078
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 2.5345e-05 - mean_absolute_error: 0.0040 19/126 [===>..........................] - ETA: 0s - loss: 3.9369e-05 - mean_absolute_error: 0.0048 37/126 [=======>......................] - ETA: 0s - loss: 3.8919e-05 - mean_absolute_error: 0.0047 55/126 [============>.................] - ETA: 0s - loss: 3.7533e-05 - mean_absolute_error: 0.0046 72/126 [================>.............] - ETA: 0s - loss: 3.8039e-05 - mean_absolute_error: 0.0046 89/126 [====================>.........] - ETA: 0s - loss: 3.9779e-05 - mean_absolute_error: 0.0047107/126 [========================>.....] - ETA: 0s - loss: 4.0521e-05 - mean_absolute_error: 0.0048124/126 [============================>.] - ETA: 0s - loss: 4.0601e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0626e-05 - mean_absolute_error: 0.0048 - val_loss: 8.4621e-05 - val_mean_absolute_error: 0.0068
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 4.4868e-05 - mean_absolute_error: 0.0044 18/126 [===>..........................] - ETA: 0s - loss: 3.3154e-05 - mean_absolute_error: 0.0042 36/126 [=======>......................] - ETA: 0s - loss: 3.7553e-05 - mean_absolute_error: 0.0045 52/126 [===========>..................] - ETA: 0s - loss: 3.6962e-05 - mean_absolute_error: 0.0046 69/126 [===============>..............] - ETA: 0s - loss: 3.7946e-05 - mean_absolute_error: 0.0046 86/126 [===================>..........] - ETA: 0s - loss: 3.8233e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.7979e-05 - mean_absolute_error: 0.0045121/126 [===========================>..] - ETA: 0s - loss: 3.8428e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8778e-05 - mean_absolute_error: 0.0046 - val_loss: 7.1065e-05 - val_mean_absolute_error: 0.0062
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 4.3926e-05 - mean_absolute_error: 0.0055 14/126 [==>...........................] - ETA: 0s - loss: 3.6830e-05 - mean_absolute_error: 0.0045 27/126 [=====>........................] - ETA: 0s - loss: 3.4594e-05 - mean_absolute_error: 0.0044 40/126 [========>.....................] - ETA: 0s - loss: 3.4598e-05 - mean_absolute_error: 0.0044 53/126 [===========>..................] - ETA: 0s - loss: 3.7929e-05 - mean_absolute_error: 0.0045 66/126 [==============>...............] - ETA: 0s - loss: 3.6910e-05 - mean_absolute_error: 0.0045 79/126 [=================>............] - ETA: 0s - loss: 3.7732e-05 - mean_absolute_error: 0.0046 92/126 [====================>.........] - ETA: 0s - loss: 3.8047e-05 - mean_absolute_error: 0.0047105/126 [========================>.....] - ETA: 0s - loss: 3.8355e-05 - mean_absolute_error: 0.0046123/126 [============================>.] - ETA: 0s - loss: 3.8242e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 1s 4ms/step - loss: 3.8583e-05 - mean_absolute_error: 0.0047 - val_loss: 1.0311e-04 - val_mean_absolute_error: 0.0081
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 1.0986e-04 - mean_absolute_error: 0.0092 18/126 [===>..........................] - ETA: 0s - loss: 4.8509e-05 - mean_absolute_error: 0.0054 36/126 [=======>......................] - ETA: 0s - loss: 4.1225e-05 - mean_absolute_error: 0.0048 54/126 [===========>..................] - ETA: 0s - loss: 4.0195e-05 - mean_absolute_error: 0.0047 72/126 [================>.............] - ETA: 0s - loss: 3.8892e-05 - mean_absolute_error: 0.0046 89/126 [====================>.........] - ETA: 0s - loss: 3.8052e-05 - mean_absolute_error: 0.0046107/126 [========================>.....] - ETA: 0s - loss: 3.6964e-05 - mean_absolute_error: 0.0045125/126 [============================>.] - ETA: 0s - loss: 3.8109e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8156e-05 - mean_absolute_error: 0.0046 - val_loss: 7.3709e-05 - val_mean_absolute_error: 0.0063
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 2.7969e-05 - mean_absolute_error: 0.0042 18/126 [===>..........................] - ETA: 0s - loss: 3.8708e-05 - mean_absolute_error: 0.0047 36/126 [=======>......................] - ETA: 0s - loss: 3.5323e-05 - mean_absolute_error: 0.0045 56/126 [============>.................] - ETA: 0s - loss: 3.5848e-05 - mean_absolute_error: 0.0045 75/126 [================>.............] - ETA: 0s - loss: 3.6826e-05 - mean_absolute_error: 0.0045 93/126 [=====================>........] - ETA: 0s - loss: 3.5962e-05 - mean_absolute_error: 0.0044112/126 [=========================>....] - ETA: 0s - loss: 3.5937e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.7427e-05 - mean_absolute_error: 0.0045 - val_loss: 7.2469e-05 - val_mean_absolute_error: 0.0061
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 7.5017e-05 - mean_absolute_error: 0.0053 18/126 [===>..........................] - ETA: 0s - loss: 4.5287e-05 - mean_absolute_error: 0.0049 36/126 [=======>......................] - ETA: 0s - loss: 4.0183e-05 - mean_absolute_error: 0.0047 54/126 [===========>..................] - ETA: 0s - loss: 3.7252e-05 - mean_absolute_error: 0.0045 72/126 [================>.............] - ETA: 0s - loss: 3.5300e-05 - mean_absolute_error: 0.0044 89/126 [====================>.........] - ETA: 0s - loss: 3.6929e-05 - mean_absolute_error: 0.0045107/126 [========================>.....] - ETA: 0s - loss: 4.0468e-05 - mean_absolute_error: 0.0047125/126 [============================>.] - ETA: 0s - loss: 4.0406e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 4.0353e-05 - mean_absolute_error: 0.0047 - val_loss: 6.7176e-05 - val_mean_absolute_error: 0.0057
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 3.3872e-05 - mean_absolute_error: 0.0041 18/126 [===>..........................] - ETA: 0s - loss: 3.3816e-05 - mean_absolute_error: 0.0044 35/126 [=======>......................] - ETA: 0s - loss: 3.2004e-05 - mean_absolute_error: 0.0041 52/126 [===========>..................] - ETA: 0s - loss: 3.3551e-05 - mean_absolute_error: 0.0043 64/126 [==============>...............] - ETA: 0s - loss: 3.2931e-05 - mean_absolute_error: 0.0042 73/126 [================>.............] - ETA: 0s - loss: 3.3486e-05 - mean_absolute_error: 0.0042 83/126 [==================>...........] - ETA: 0s - loss: 3.4518e-05 - mean_absolute_error: 0.0043 92/126 [====================>.........] - ETA: 0s - loss: 3.5196e-05 - mean_absolute_error: 0.0043101/126 [=======================>......] - ETA: 0s - loss: 3.4785e-05 - mean_absolute_error: 0.0043110/126 [=========================>....] - ETA: 0s - loss: 3.5348e-05 - mean_absolute_error: 0.0043120/126 [===========================>..] - ETA: 0s - loss: 3.7449e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 1s 5ms/step - loss: 3.7755e-05 - mean_absolute_error: 0.0045 - val_loss: 6.8138e-05 - val_mean_absolute_error: 0.0059
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 4.9588e-05 - mean_absolute_error: 0.0056 11/126 [=>............................] - ETA: 0s - loss: 3.9583e-05 - mean_absolute_error: 0.0049 20/126 [===>..........................] - ETA: 0s - loss: 3.7376e-05 - mean_absolute_error: 0.0046 30/126 [======>.......................] - ETA: 0s - loss: 3.7223e-05 - mean_absolute_error: 0.0047 40/126 [========>.....................] - ETA: 0s - loss: 3.7439e-05 - mean_absolute_error: 0.0047 49/126 [==========>...................] - ETA: 0s - loss: 3.7898e-05 - mean_absolute_error: 0.0047 58/126 [============>.................] - ETA: 0s - loss: 3.8381e-05 - mean_absolute_error: 0.0047 68/126 [===============>..............] - ETA: 0s - loss: 3.8010e-05 - mean_absolute_error: 0.0047 78/126 [=================>............] - ETA: 0s - loss: 3.9274e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 3.9158e-05 - mean_absolute_error: 0.0047 97/126 [======================>.......] - ETA: 0s - loss: 4.1366e-05 - mean_absolute_error: 0.0048106/126 [========================>.....] - ETA: 0s - loss: 4.1474e-05 - mean_absolute_error: 0.0049116/126 [==========================>...] - ETA: 0s - loss: 4.0948e-05 - mean_absolute_error: 0.0048126/126 [==============================] - ETA: 0s - loss: 4.0893e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 1s 6ms/step - loss: 4.0893e-05 - mean_absolute_error: 0.0048 - val_loss: 8.9918e-05 - val_mean_absolute_error: 0.0074
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 5.5351e-05 - mean_absolute_error: 0.0065 11/126 [=>............................] - ETA: 0s - loss: 4.5509e-05 - mean_absolute_error: 0.0054 21/126 [====>.........................] - ETA: 0s - loss: 3.9911e-05 - mean_absolute_error: 0.0049 31/126 [======>.......................] - ETA: 0s - loss: 3.8972e-05 - mean_absolute_error: 0.0048 44/126 [=========>....................] - ETA: 0s - loss: 3.9085e-05 - mean_absolute_error: 0.0048 62/126 [=============>................] - ETA: 0s - loss: 3.7898e-05 - mean_absolute_error: 0.0046 81/126 [==================>...........] - ETA: 0s - loss: 3.7333e-05 - mean_absolute_error: 0.0045100/126 [======================>.......] - ETA: 0s - loss: 3.7776e-05 - mean_absolute_error: 0.0045119/126 [===========================>..] - ETA: 0s - loss: 3.7303e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 4ms/step - loss: 3.7426e-05 - mean_absolute_error: 0.0045 - val_loss: 1.0442e-04 - val_mean_absolute_error: 0.0079
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 3.5931e-05 - mean_absolute_error: 0.0052 19/126 [===>..........................] - ETA: 0s - loss: 3.8689e-05 - mean_absolute_error: 0.0046 36/126 [=======>......................] - ETA: 0s - loss: 4.3714e-05 - mean_absolute_error: 0.0050 53/126 [===========>..................] - ETA: 0s - loss: 3.9120e-05 - mean_absolute_error: 0.0047 70/126 [===============>..............] - ETA: 0s - loss: 3.8262e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.7936e-05 - mean_absolute_error: 0.0045104/126 [=======================>......] - ETA: 0s - loss: 3.6878e-05 - mean_absolute_error: 0.0045121/126 [===========================>..] - ETA: 0s - loss: 3.7742e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7879e-05 - mean_absolute_error: 0.0046 - val_loss: 6.6020e-05 - val_mean_absolute_error: 0.0055
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 6.2028e-05 - mean_absolute_error: 0.0039 18/126 [===>..........................] - ETA: 0s - loss: 4.5234e-05 - mean_absolute_error: 0.0052 35/126 [=======>......................] - ETA: 0s - loss: 5.0132e-05 - mean_absolute_error: 0.0054 53/126 [===========>..................] - ETA: 0s - loss: 4.6140e-05 - mean_absolute_error: 0.0051 70/126 [===============>..............] - ETA: 0s - loss: 4.4159e-05 - mean_absolute_error: 0.0050 87/126 [===================>..........] - ETA: 0s - loss: 4.3207e-05 - mean_absolute_error: 0.0050104/126 [=======================>......] - ETA: 0s - loss: 4.1979e-05 - mean_absolute_error: 0.0049121/126 [===========================>..] - ETA: 0s - loss: 4.1828e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1699e-05 - mean_absolute_error: 0.0049 - val_loss: 6.8569e-05 - val_mean_absolute_error: 0.0059
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 3.8718e-05 - mean_absolute_error: 0.0044 18/126 [===>..........................] - ETA: 0s - loss: 3.7133e-05 - mean_absolute_error: 0.0043 36/126 [=======>......................] - ETA: 0s - loss: 3.8732e-05 - mean_absolute_error: 0.0045 54/126 [===========>..................] - ETA: 0s - loss: 4.0296e-05 - mean_absolute_error: 0.0047 72/126 [================>.............] - ETA: 0s - loss: 4.0090e-05 - mean_absolute_error: 0.0047 91/126 [====================>.........] - ETA: 0s - loss: 3.8913e-05 - mean_absolute_error: 0.0046109/126 [========================>.....] - ETA: 0s - loss: 3.9221e-05 - mean_absolute_error: 0.0046126/126 [==============================] - ETA: 0s - loss: 3.9583e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9583e-05 - mean_absolute_error: 0.0047 - val_loss: 9.0074e-05 - val_mean_absolute_error: 0.0071
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 3.5642e-05 - mean_absolute_error: 0.0049 18/126 [===>..........................] - ETA: 0s - loss: 3.5850e-05 - mean_absolute_error: 0.0046 36/126 [=======>......................] - ETA: 0s - loss: 3.6519e-05 - mean_absolute_error: 0.0046 53/126 [===========>..................] - ETA: 0s - loss: 3.5974e-05 - mean_absolute_error: 0.0045 71/126 [===============>..............] - ETA: 0s - loss: 3.7691e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.8761e-05 - mean_absolute_error: 0.0047104/126 [=======================>......] - ETA: 0s - loss: 3.9399e-05 - mean_absolute_error: 0.0047121/126 [===========================>..] - ETA: 0s - loss: 3.9783e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9864e-05 - mean_absolute_error: 0.0048 - val_loss: 7.0681e-05 - val_mean_absolute_error: 0.0061
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 2.1790e-05 - mean_absolute_error: 0.0036 18/126 [===>..........................] - ETA: 0s - loss: 4.3544e-05 - mean_absolute_error: 0.0051 34/126 [=======>......................] - ETA: 0s - loss: 3.9080e-05 - mean_absolute_error: 0.0048 52/126 [===========>..................] - ETA: 0s - loss: 3.9461e-05 - mean_absolute_error: 0.0047 69/126 [===============>..............] - ETA: 0s - loss: 3.8762e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 3.8504e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.8526e-05 - mean_absolute_error: 0.0046121/126 [===========================>..] - ETA: 0s - loss: 4.0594e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0610e-05 - mean_absolute_error: 0.0048 - val_loss: 7.7718e-05 - val_mean_absolute_error: 0.0064
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 3.5330e-05 - mean_absolute_error: 0.0045 18/126 [===>..........................] - ETA: 0s - loss: 4.0258e-05 - mean_absolute_error: 0.0047 35/126 [=======>......................] - ETA: 0s - loss: 3.6577e-05 - mean_absolute_error: 0.0044 52/126 [===========>..................] - ETA: 0s - loss: 3.7672e-05 - mean_absolute_error: 0.0046 70/126 [===============>..............] - ETA: 0s - loss: 3.7810e-05 - mean_absolute_error: 0.0045 88/126 [===================>..........] - ETA: 0s - loss: 3.6954e-05 - mean_absolute_error: 0.0045105/126 [========================>.....] - ETA: 0s - loss: 3.7847e-05 - mean_absolute_error: 0.0045122/126 [============================>.] - ETA: 0s - loss: 4.0437e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 4.0600e-05 - mean_absolute_error: 0.0047 - val_loss: 9.5969e-05 - val_mean_absolute_error: 0.0078
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 4.7386e-05 - mean_absolute_error: 0.0059 18/126 [===>..........................] - ETA: 0s - loss: 5.1629e-05 - mean_absolute_error: 0.0057 36/126 [=======>......................] - ETA: 0s - loss: 4.1309e-05 - mean_absolute_error: 0.0048 52/126 [===========>..................] - ETA: 0s - loss: 4.6886e-05 - mean_absolute_error: 0.0051 69/126 [===============>..............] - ETA: 0s - loss: 4.9454e-05 - mean_absolute_error: 0.0054 86/126 [===================>..........] - ETA: 0s - loss: 4.9807e-05 - mean_absolute_error: 0.0054104/126 [=======================>......] - ETA: 0s - loss: 4.8650e-05 - mean_absolute_error: 0.0054121/126 [===========================>..] - ETA: 0s - loss: 4.6198e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.5977e-05 - mean_absolute_error: 0.0051 - val_loss: 6.6941e-05 - val_mean_absolute_error: 0.0056
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 4.3375e-05 - mean_absolute_error: 0.0046 18/126 [===>..........................] - ETA: 0s - loss: 3.5212e-05 - mean_absolute_error: 0.0042 36/126 [=======>......................] - ETA: 0s - loss: 3.5559e-05 - mean_absolute_error: 0.0043 54/126 [===========>..................] - ETA: 0s - loss: 3.5379e-05 - mean_absolute_error: 0.0043 71/126 [===============>..............] - ETA: 0s - loss: 3.7524e-05 - mean_absolute_error: 0.0045 88/126 [===================>..........] - ETA: 0s - loss: 3.7804e-05 - mean_absolute_error: 0.0046106/126 [========================>.....] - ETA: 0s - loss: 3.8803e-05 - mean_absolute_error: 0.0047123/126 [============================>.] - ETA: 0s - loss: 3.9213e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9170e-05 - mean_absolute_error: 0.0047 - val_loss: 6.9086e-05 - val_mean_absolute_error: 0.0058
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 4.3135e-05 - mean_absolute_error: 0.0047 18/126 [===>..........................] - ETA: 0s - loss: 2.9414e-05 - mean_absolute_error: 0.0040 37/126 [=======>......................] - ETA: 0s - loss: 3.1393e-05 - mean_absolute_error: 0.0042 57/126 [============>.................] - ETA: 0s - loss: 3.7381e-05 - mean_absolute_error: 0.0046 75/126 [================>.............] - ETA: 0s - loss: 4.0065e-05 - mean_absolute_error: 0.0048 92/126 [====================>.........] - ETA: 0s - loss: 4.1332e-05 - mean_absolute_error: 0.0049110/126 [=========================>....] - ETA: 0s - loss: 4.1953e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.3750e-05 - mean_absolute_error: 0.0050 - val_loss: 6.5920e-05 - val_mean_absolute_error: 0.0055
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 2.4659e-05 - mean_absolute_error: 0.0035 19/126 [===>..........................] - ETA: 0s - loss: 4.6272e-05 - mean_absolute_error: 0.0053 36/126 [=======>......................] - ETA: 0s - loss: 4.3519e-05 - mean_absolute_error: 0.0051 53/126 [===========>..................] - ETA: 0s - loss: 4.2165e-05 - mean_absolute_error: 0.0049 70/126 [===============>..............] - ETA: 0s - loss: 4.0465e-05 - mean_absolute_error: 0.0048 87/126 [===================>..........] - ETA: 0s - loss: 3.9013e-05 - mean_absolute_error: 0.0047104/126 [=======================>......] - ETA: 0s - loss: 4.0208e-05 - mean_absolute_error: 0.0048121/126 [===========================>..] - ETA: 0s - loss: 4.0238e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0123e-05 - mean_absolute_error: 0.0048 - val_loss: 7.6311e-05 - val_mean_absolute_error: 0.0066
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 4.7588e-05 - mean_absolute_error: 0.0057 18/126 [===>..........................] - ETA: 0s - loss: 5.9986e-05 - mean_absolute_error: 0.0062 36/126 [=======>......................] - ETA: 0s - loss: 5.4303e-05 - mean_absolute_error: 0.0056 56/126 [============>.................] - ETA: 0s - loss: 4.7454e-05 - mean_absolute_error: 0.0051 75/126 [================>.............] - ETA: 0s - loss: 4.3387e-05 - mean_absolute_error: 0.0049 94/126 [=====================>........] - ETA: 0s - loss: 4.4987e-05 - mean_absolute_error: 0.0050112/126 [=========================>....] - ETA: 0s - loss: 4.8386e-05 - mean_absolute_error: 0.0053126/126 [==============================] - 0s 3ms/step - loss: 4.7774e-05 - mean_absolute_error: 0.0053 - val_loss: 7.3463e-05 - val_mean_absolute_error: 0.0064
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 3.0068e-05 - mean_absolute_error: 0.0041 18/126 [===>..........................] - ETA: 0s - loss: 4.0342e-05 - mean_absolute_error: 0.0049 35/126 [=======>......................] - ETA: 0s - loss: 3.9164e-05 - mean_absolute_error: 0.0048 53/126 [===========>..................] - ETA: 0s - loss: 4.1194e-05 - mean_absolute_error: 0.0049 70/126 [===============>..............] - ETA: 0s - loss: 4.0797e-05 - mean_absolute_error: 0.0048 87/126 [===================>..........] - ETA: 0s - loss: 3.9204e-05 - mean_absolute_error: 0.0047104/126 [=======================>......] - ETA: 0s - loss: 3.9058e-05 - mean_absolute_error: 0.0047122/126 [============================>.] - ETA: 0s - loss: 4.0716e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0553e-05 - mean_absolute_error: 0.0048 - val_loss: 1.0563e-04 - val_mean_absolute_error: 0.0083
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 4.9735e-05 - mean_absolute_error: 0.0060 19/126 [===>..........................] - ETA: 0s - loss: 5.2186e-05 - mean_absolute_error: 0.0057 37/126 [=======>......................] - ETA: 0s - loss: 4.5353e-05 - mean_absolute_error: 0.0053 56/126 [============>.................] - ETA: 0s - loss: 4.3106e-05 - mean_absolute_error: 0.0051 74/126 [================>.............] - ETA: 0s - loss: 4.2062e-05 - mean_absolute_error: 0.0050 93/126 [=====================>........] - ETA: 0s - loss: 4.2175e-05 - mean_absolute_error: 0.0050110/126 [=========================>....] - ETA: 0s - loss: 4.2213e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.1954e-05 - mean_absolute_error: 0.0049 - val_loss: 6.6131e-05 - val_mean_absolute_error: 0.0056
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 2.6116e-05 - mean_absolute_error: 0.0034 17/126 [===>..........................] - ETA: 0s - loss: 3.5317e-05 - mean_absolute_error: 0.0044 33/126 [======>.......................] - ETA: 0s - loss: 3.7249e-05 - mean_absolute_error: 0.0046 52/126 [===========>..................] - ETA: 0s - loss: 3.8966e-05 - mean_absolute_error: 0.0047 70/126 [===============>..............] - ETA: 0s - loss: 4.2547e-05 - mean_absolute_error: 0.0050 88/126 [===================>..........] - ETA: 0s - loss: 4.3507e-05 - mean_absolute_error: 0.0050105/126 [========================>.....] - ETA: 0s - loss: 4.4795e-05 - mean_absolute_error: 0.0051122/126 [============================>.] - ETA: 0s - loss: 4.6411e-05 - mean_absolute_error: 0.0053126/126 [==============================] - 0s 3ms/step - loss: 4.6499e-05 - mean_absolute_error: 0.0053 - val_loss: 6.7698e-05 - val_mean_absolute_error: 0.0059
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 3.6087e-05 - mean_absolute_error: 0.0047 18/126 [===>..........................] - ETA: 0s - loss: 3.7616e-05 - mean_absolute_error: 0.0045 35/126 [=======>......................] - ETA: 0s - loss: 3.7975e-05 - mean_absolute_error: 0.0045 53/126 [===========>..................] - ETA: 0s - loss: 3.9961e-05 - mean_absolute_error: 0.0047 71/126 [===============>..............] - ETA: 0s - loss: 4.1236e-05 - mean_absolute_error: 0.0048 88/126 [===================>..........] - ETA: 0s - loss: 4.0376e-05 - mean_absolute_error: 0.0048105/126 [========================>.....] - ETA: 0s - loss: 4.0060e-05 - mean_absolute_error: 0.0047123/126 [============================>.] - ETA: 0s - loss: 3.9533e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9324e-05 - mean_absolute_error: 0.0046 - val_loss: 6.7581e-05 - val_mean_absolute_error: 0.0057
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 3.0097e-05 - mean_absolute_error: 0.0045 19/126 [===>..........................] - ETA: 0s - loss: 3.6243e-05 - mean_absolute_error: 0.0044 36/126 [=======>......................] - ETA: 0s - loss: 4.2961e-05 - mean_absolute_error: 0.0049 54/126 [===========>..................] - ETA: 0s - loss: 4.2411e-05 - mean_absolute_error: 0.0048 72/126 [================>.............] - ETA: 0s - loss: 4.2069e-05 - mean_absolute_error: 0.0049 89/126 [====================>.........] - ETA: 0s - loss: 4.7093e-05 - mean_absolute_error: 0.0052107/126 [========================>.....] - ETA: 0s - loss: 4.6170e-05 - mean_absolute_error: 0.0051124/126 [============================>.] - ETA: 0s - loss: 4.5177e-05 - mean_absolute_error: 0.0051126/126 [==============================] - 0s 3ms/step - loss: 4.5195e-05 - mean_absolute_error: 0.0051 - val_loss: 9.7911e-05 - val_mean_absolute_error: 0.0079
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 4.2155e-05 - mean_absolute_error: 0.0057 18/126 [===>..........................] - ETA: 0s - loss: 3.7773e-05 - mean_absolute_error: 0.0044 35/126 [=======>......................] - ETA: 0s - loss: 3.6225e-05 - mean_absolute_error: 0.0043 53/126 [===========>..................] - ETA: 0s - loss: 3.6707e-05 - mean_absolute_error: 0.0044 70/126 [===============>..............] - ETA: 0s - loss: 3.8384e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.8026e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.8390e-05 - mean_absolute_error: 0.0046122/126 [============================>.] - ETA: 0s - loss: 3.8241e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8225e-05 - mean_absolute_error: 0.0046 - val_loss: 6.5704e-05 - val_mean_absolute_error: 0.0055
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 1.4037e-05 - mean_absolute_error: 0.0025 17/126 [===>..........................] - ETA: 0s - loss: 3.4285e-05 - mean_absolute_error: 0.0045 34/126 [=======>......................] - ETA: 0s - loss: 3.9356e-05 - mean_absolute_error: 0.0048 52/126 [===========>..................] - ETA: 0s - loss: 3.9199e-05 - mean_absolute_error: 0.0047 69/126 [===============>..............] - ETA: 0s - loss: 4.0202e-05 - mean_absolute_error: 0.0048 87/126 [===================>..........] - ETA: 0s - loss: 3.9743e-05 - mean_absolute_error: 0.0047105/126 [========================>.....] - ETA: 0s - loss: 3.9084e-05 - mean_absolute_error: 0.0047122/126 [============================>.] - ETA: 0s - loss: 3.8584e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8864e-05 - mean_absolute_error: 0.0047 - val_loss: 8.7654e-05 - val_mean_absolute_error: 0.0073
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 4.1981e-05 - mean_absolute_error: 0.0052 18/126 [===>..........................] - ETA: 0s - loss: 5.4154e-05 - mean_absolute_error: 0.0058 35/126 [=======>......................] - ETA: 0s - loss: 5.1113e-05 - mean_absolute_error: 0.0055 52/126 [===========>..................] - ETA: 0s - loss: 5.1160e-05 - mean_absolute_error: 0.0055 70/126 [===============>..............] - ETA: 0s - loss: 4.9515e-05 - mean_absolute_error: 0.0054 87/126 [===================>..........] - ETA: 0s - loss: 4.5857e-05 - mean_absolute_error: 0.0052104/126 [=======================>......] - ETA: 0s - loss: 4.6701e-05 - mean_absolute_error: 0.0053121/126 [===========================>..] - ETA: 0s - loss: 4.6451e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.6047e-05 - mean_absolute_error: 0.0052 - val_loss: 8.7498e-05 - val_mean_absolute_error: 0.0073
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 4.0475e-05 - mean_absolute_error: 0.0055 18/126 [===>..........................] - ETA: 0s - loss: 3.9855e-05 - mean_absolute_error: 0.0047 35/126 [=======>......................] - ETA: 0s - loss: 3.4329e-05 - mean_absolute_error: 0.0043 52/126 [===========>..................] - ETA: 0s - loss: 3.8024e-05 - mean_absolute_error: 0.0046 68/126 [===============>..............] - ETA: 0s - loss: 3.9240e-05 - mean_absolute_error: 0.0047 86/126 [===================>..........] - ETA: 0s - loss: 3.8247e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.8850e-05 - mean_absolute_error: 0.0047121/126 [===========================>..] - ETA: 0s - loss: 3.8169e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8521e-05 - mean_absolute_error: 0.0046 - val_loss: 1.0059e-04 - val_mean_absolute_error: 0.0077
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 7.3553e-05 - mean_absolute_error: 0.0071 19/126 [===>..........................] - ETA: 0s - loss: 4.1163e-05 - mean_absolute_error: 0.0048 36/126 [=======>......................] - ETA: 0s - loss: 3.5530e-05 - mean_absolute_error: 0.0043 52/126 [===========>..................] - ETA: 0s - loss: 3.9079e-05 - mean_absolute_error: 0.0046 69/126 [===============>..............] - ETA: 0s - loss: 3.9525e-05 - mean_absolute_error: 0.0047 86/126 [===================>..........] - ETA: 0s - loss: 3.8670e-05 - mean_absolute_error: 0.0047103/126 [=======================>......] - ETA: 0s - loss: 3.9399e-05 - mean_absolute_error: 0.0047120/126 [===========================>..] - ETA: 0s - loss: 3.9278e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9122e-05 - mean_absolute_error: 0.0047 - val_loss: 9.7197e-05 - val_mean_absolute_error: 0.0075
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 3.3805e-05 - mean_absolute_error: 0.0050 18/126 [===>..........................] - ETA: 0s - loss: 4.0476e-05 - mean_absolute_error: 0.0050 36/126 [=======>......................] - ETA: 0s - loss: 4.1852e-05 - mean_absolute_error: 0.0049 53/126 [===========>..................] - ETA: 0s - loss: 4.6444e-05 - mean_absolute_error: 0.0053 70/126 [===============>..............] - ETA: 0s - loss: 4.3136e-05 - mean_absolute_error: 0.0050 87/126 [===================>..........] - ETA: 0s - loss: 4.1201e-05 - mean_absolute_error: 0.0048105/126 [========================>.....] - ETA: 0s - loss: 4.1050e-05 - mean_absolute_error: 0.0048122/126 [============================>.] - ETA: 0s - loss: 4.2017e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2315e-05 - mean_absolute_error: 0.0049 - val_loss: 6.5479e-05 - val_mean_absolute_error: 0.0056
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 2.2149e-05 - mean_absolute_error: 0.0037 18/126 [===>..........................] - ETA: 0s - loss: 3.8369e-05 - mean_absolute_error: 0.0046 35/126 [=======>......................] - ETA: 0s - loss: 4.2515e-05 - mean_absolute_error: 0.0050 52/126 [===========>..................] - ETA: 0s - loss: 4.2867e-05 - mean_absolute_error: 0.0050 69/126 [===============>..............] - ETA: 0s - loss: 4.0434e-05 - mean_absolute_error: 0.0048 87/126 [===================>..........] - ETA: 0s - loss: 4.1002e-05 - mean_absolute_error: 0.0048104/126 [=======================>......] - ETA: 0s - loss: 3.9504e-05 - mean_absolute_error: 0.0047121/126 [===========================>..] - ETA: 0s - loss: 3.9166e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.9048e-05 - mean_absolute_error: 0.0046 - val_loss: 6.6979e-05 - val_mean_absolute_error: 0.0059
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 1.0200e-05 - mean_absolute_error: 0.0027 18/126 [===>..........................] - ETA: 0s - loss: 3.3763e-05 - mean_absolute_error: 0.0042 34/126 [=======>......................] - ETA: 0s - loss: 3.4080e-05 - mean_absolute_error: 0.0042 51/126 [===========>..................] - ETA: 0s - loss: 3.6844e-05 - mean_absolute_error: 0.0044 68/126 [===============>..............] - ETA: 0s - loss: 3.6600e-05 - mean_absolute_error: 0.0043 85/126 [===================>..........] - ETA: 0s - loss: 3.5323e-05 - mean_absolute_error: 0.0043103/126 [=======================>......] - ETA: 0s - loss: 3.5276e-05 - mean_absolute_error: 0.0043120/126 [===========================>..] - ETA: 0s - loss: 3.5795e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.5898e-05 - mean_absolute_error: 0.0044 - val_loss: 7.6148e-05 - val_mean_absolute_error: 0.0066
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 4.2800e-05 - mean_absolute_error: 0.0046 18/126 [===>..........................] - ETA: 0s - loss: 6.2694e-05 - mean_absolute_error: 0.0063 35/126 [=======>......................] - ETA: 0s - loss: 6.7261e-05 - mean_absolute_error: 0.0067 52/126 [===========>..................] - ETA: 0s - loss: 6.3227e-05 - mean_absolute_error: 0.0065 69/126 [===============>..............] - ETA: 0s - loss: 5.8305e-05 - mean_absolute_error: 0.0061 86/126 [===================>..........] - ETA: 0s - loss: 5.6126e-05 - mean_absolute_error: 0.0059104/126 [=======================>......] - ETA: 0s - loss: 5.3434e-05 - mean_absolute_error: 0.0057121/126 [===========================>..] - ETA: 0s - loss: 5.1169e-05 - mean_absolute_error: 0.0056126/126 [==============================] - 0s 3ms/step - loss: 5.1252e-05 - mean_absolute_error: 0.0056 - val_loss: 1.1598e-04 - val_mean_absolute_error: 0.0084
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 5.0242e-05 - mean_absolute_error: 0.0061 18/126 [===>..........................] - ETA: 0s - loss: 3.9776e-05 - mean_absolute_error: 0.0049 35/126 [=======>......................] - ETA: 0s - loss: 4.4622e-05 - mean_absolute_error: 0.0052 52/126 [===========>..................] - ETA: 0s - loss: 4.6151e-05 - mean_absolute_error: 0.0052 70/126 [===============>..............] - ETA: 0s - loss: 4.4977e-05 - mean_absolute_error: 0.0051 87/126 [===================>..........] - ETA: 0s - loss: 4.3111e-05 - mean_absolute_error: 0.0050104/126 [=======================>......] - ETA: 0s - loss: 4.2914e-05 - mean_absolute_error: 0.0050121/126 [===========================>..] - ETA: 0s - loss: 4.2071e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2029e-05 - mean_absolute_error: 0.0049 - val_loss: 1.0823e-04 - val_mean_absolute_error: 0.0080
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 5.5051e-05 - mean_absolute_error: 0.0063 19/126 [===>..........................] - ETA: 0s - loss: 5.2848e-05 - mean_absolute_error: 0.0055 37/126 [=======>......................] - ETA: 0s - loss: 4.4084e-05 - mean_absolute_error: 0.0050 55/126 [============>.................] - ETA: 0s - loss: 4.1248e-05 - mean_absolute_error: 0.0048 74/126 [================>.............] - ETA: 0s - loss: 3.9793e-05 - mean_absolute_error: 0.0047 92/126 [====================>.........] - ETA: 0s - loss: 4.0436e-05 - mean_absolute_error: 0.0048110/126 [=========================>....] - ETA: 0s - loss: 4.2331e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.4404e-05 - mean_absolute_error: 0.0051 - val_loss: 7.6484e-05 - val_mean_absolute_error: 0.0066
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 3.5798e-05 - mean_absolute_error: 0.0046 18/126 [===>..........................] - ETA: 0s - loss: 4.8066e-05 - mean_absolute_error: 0.0052 36/126 [=======>......................] - ETA: 0s - loss: 3.9557e-05 - mean_absolute_error: 0.0047 53/126 [===========>..................] - ETA: 0s - loss: 4.3300e-05 - mean_absolute_error: 0.0050 70/126 [===============>..............] - ETA: 0s - loss: 4.3546e-05 - mean_absolute_error: 0.0050 87/126 [===================>..........] - ETA: 0s - loss: 4.3092e-05 - mean_absolute_error: 0.0050104/126 [=======================>......] - ETA: 0s - loss: 4.2939e-05 - mean_absolute_error: 0.0050123/126 [============================>.] - ETA: 0s - loss: 4.2132e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.1894e-05 - mean_absolute_error: 0.0049 - val_loss: 7.8130e-05 - val_mean_absolute_error: 0.0065
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 4.2548e-05 - mean_absolute_error: 0.0053 18/126 [===>..........................] - ETA: 0s - loss: 3.5730e-05 - mean_absolute_error: 0.0046 36/126 [=======>......................] - ETA: 0s - loss: 3.8221e-05 - mean_absolute_error: 0.0048 53/126 [===========>..................] - ETA: 0s - loss: 3.7289e-05 - mean_absolute_error: 0.0047 69/126 [===============>..............] - ETA: 0s - loss: 3.9828e-05 - mean_absolute_error: 0.0048 86/126 [===================>..........] - ETA: 0s - loss: 4.0077e-05 - mean_absolute_error: 0.0048104/126 [=======================>......] - ETA: 0s - loss: 3.8805e-05 - mean_absolute_error: 0.0047121/126 [===========================>..] - ETA: 0s - loss: 3.9472e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8993e-05 - mean_absolute_error: 0.0047 - val_loss: 9.7689e-05 - val_mean_absolute_error: 0.0079
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 3.8675e-05 - mean_absolute_error: 0.0052 18/126 [===>..........................] - ETA: 0s - loss: 3.8431e-05 - mean_absolute_error: 0.0048 34/126 [=======>......................] - ETA: 0s - loss: 3.7201e-05 - mean_absolute_error: 0.0047 51/126 [===========>..................] - ETA: 0s - loss: 3.7408e-05 - mean_absolute_error: 0.0046 70/126 [===============>..............] - ETA: 0s - loss: 3.8734e-05 - mean_absolute_error: 0.0047 89/126 [====================>.........] - ETA: 0s - loss: 3.9962e-05 - mean_absolute_error: 0.0048108/126 [========================>.....] - ETA: 0s - loss: 3.9489e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 3.9860e-05 - mean_absolute_error: 0.0048 - val_loss: 6.3710e-05 - val_mean_absolute_error: 0.0054
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 3.9143e-05 - mean_absolute_error: 0.0038 17/126 [===>..........................] - ETA: 0s - loss: 5.5857e-05 - mean_absolute_error: 0.0058 35/126 [=======>......................] - ETA: 0s - loss: 4.9856e-05 - mean_absolute_error: 0.0054 53/126 [===========>..................] - ETA: 0s - loss: 4.4488e-05 - mean_absolute_error: 0.0050 72/126 [================>.............] - ETA: 0s - loss: 4.1404e-05 - mean_absolute_error: 0.0048 89/126 [====================>.........] - ETA: 0s - loss: 3.9291e-05 - mean_absolute_error: 0.0047106/126 [========================>.....] - ETA: 0s - loss: 3.8659e-05 - mean_absolute_error: 0.0046123/126 [============================>.] - ETA: 0s - loss: 3.7819e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7600e-05 - mean_absolute_error: 0.0045 - val_loss: 6.5100e-05 - val_mean_absolute_error: 0.0056
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 2.4301e-05 - mean_absolute_error: 0.0038 18/126 [===>..........................] - ETA: 0s - loss: 4.9662e-05 - mean_absolute_error: 0.0056 35/126 [=======>......................] - ETA: 0s - loss: 4.8161e-05 - mean_absolute_error: 0.0056 52/126 [===========>..................] - ETA: 0s - loss: 4.7086e-05 - mean_absolute_error: 0.0055 68/126 [===============>..............] - ETA: 0s - loss: 4.6173e-05 - mean_absolute_error: 0.0054 85/126 [===================>..........] - ETA: 0s - loss: 4.7427e-05 - mean_absolute_error: 0.0054102/126 [=======================>......] - ETA: 0s - loss: 4.5838e-05 - mean_absolute_error: 0.0053120/126 [===========================>..] - ETA: 0s - loss: 4.4811e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.4618e-05 - mean_absolute_error: 0.0052 - val_loss: 6.4575e-05 - val_mean_absolute_error: 0.0055
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 2.9299e-05 - mean_absolute_error: 0.0042 18/126 [===>..........................] - ETA: 0s - loss: 3.5080e-05 - mean_absolute_error: 0.0044 35/126 [=======>......................] - ETA: 0s - loss: 3.6437e-05 - mean_absolute_error: 0.0044 52/126 [===========>..................] - ETA: 0s - loss: 3.6925e-05 - mean_absolute_error: 0.0045 69/126 [===============>..............] - ETA: 0s - loss: 3.7115e-05 - mean_absolute_error: 0.0045 86/126 [===================>..........] - ETA: 0s - loss: 3.8410e-05 - mean_absolute_error: 0.0046103/126 [=======================>......] - ETA: 0s - loss: 4.1041e-05 - mean_absolute_error: 0.0048120/126 [===========================>..] - ETA: 0s - loss: 4.1618e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1482e-05 - mean_absolute_error: 0.0049 - val_loss: 6.4448e-05 - val_mean_absolute_error: 0.0057
Epoch 64/100
  1/126 [..............................] - ETA: 0s - loss: 5.6938e-05 - mean_absolute_error: 0.0056 18/126 [===>..........................] - ETA: 0s - loss: 3.7813e-05 - mean_absolute_error: 0.0048 36/126 [=======>......................] - ETA: 0s - loss: 4.8129e-05 - mean_absolute_error: 0.0055 53/126 [===========>..................] - ETA: 0s - loss: 4.7381e-05 - mean_absolute_error: 0.0054 70/126 [===============>..............] - ETA: 0s - loss: 4.5119e-05 - mean_absolute_error: 0.0052 89/126 [====================>.........] - ETA: 0s - loss: 4.3882e-05 - mean_absolute_error: 0.0051106/126 [========================>.....] - ETA: 0s - loss: 4.2043e-05 - mean_absolute_error: 0.0050123/126 [============================>.] - ETA: 0s - loss: 4.1956e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.1787e-05 - mean_absolute_error: 0.0049 - val_loss: 7.0860e-05 - val_mean_absolute_error: 0.0060
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 6.9259e-05 - mean_absolute_error: 0.0056 18/126 [===>..........................] - ETA: 0s - loss: 4.6458e-05 - mean_absolute_error: 0.0051 35/126 [=======>......................] - ETA: 0s - loss: 4.9179e-05 - mean_absolute_error: 0.0054 53/126 [===========>..................] - ETA: 0s - loss: 4.4790e-05 - mean_absolute_error: 0.0052 70/126 [===============>..............] - ETA: 0s - loss: 4.4549e-05 - mean_absolute_error: 0.0051 88/126 [===================>..........] - ETA: 0s - loss: 4.2041e-05 - mean_absolute_error: 0.0050106/126 [========================>.....] - ETA: 0s - loss: 4.0814e-05 - mean_absolute_error: 0.0048123/126 [============================>.] - ETA: 0s - loss: 4.0270e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0119e-05 - mean_absolute_error: 0.0048 - val_loss: 7.6907e-05 - val_mean_absolute_error: 0.0067
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 4.9515e-05 - mean_absolute_error: 0.0051 19/126 [===>..........................] - ETA: 0s - loss: 3.9960e-05 - mean_absolute_error: 0.0045 37/126 [=======>......................] - ETA: 0s - loss: 3.6956e-05 - mean_absolute_error: 0.0045 53/126 [===========>..................] - ETA: 0s - loss: 3.8766e-05 - mean_absolute_error: 0.0046 70/126 [===============>..............] - ETA: 0s - loss: 3.9919e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 4.0486e-05 - mean_absolute_error: 0.0048104/126 [=======================>......] - ETA: 0s - loss: 4.2179e-05 - mean_absolute_error: 0.0049121/126 [===========================>..] - ETA: 0s - loss: 4.1155e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0763e-05 - mean_absolute_error: 0.0048 - val_loss: 9.6660e-05 - val_mean_absolute_error: 0.0079
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 2.0819e-05 - mean_absolute_error: 0.0039 18/126 [===>..........................] - ETA: 0s - loss: 4.7537e-05 - mean_absolute_error: 0.0053 35/126 [=======>......................] - ETA: 0s - loss: 5.1901e-05 - mean_absolute_error: 0.0055 53/126 [===========>..................] - ETA: 0s - loss: 4.9990e-05 - mean_absolute_error: 0.0054 72/126 [================>.............] - ETA: 0s - loss: 4.6573e-05 - mean_absolute_error: 0.0053 90/126 [====================>.........] - ETA: 0s - loss: 4.4226e-05 - mean_absolute_error: 0.0051107/126 [========================>.....] - ETA: 0s - loss: 4.3228e-05 - mean_absolute_error: 0.0050125/126 [============================>.] - ETA: 0s - loss: 4.2110e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2055e-05 - mean_absolute_error: 0.0049 - val_loss: 9.3995e-05 - val_mean_absolute_error: 0.0077
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 4.5070e-05 - mean_absolute_error: 0.0058 19/126 [===>..........................] - ETA: 0s - loss: 5.2744e-05 - mean_absolute_error: 0.0056 36/126 [=======>......................] - ETA: 0s - loss: 5.6227e-05 - mean_absolute_error: 0.0058 53/126 [===========>..................] - ETA: 0s - loss: 5.0908e-05 - mean_absolute_error: 0.0055 67/126 [==============>...............] - ETA: 0s - loss: 4.7798e-05 - mean_absolute_error: 0.0052 83/126 [==================>...........] - ETA: 0s - loss: 4.5063e-05 - mean_absolute_error: 0.0050100/126 [======================>.......] - ETA: 0s - loss: 4.3537e-05 - mean_absolute_error: 0.0050118/126 [===========================>..] - ETA: 0s - loss: 4.2549e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.2227e-05 - mean_absolute_error: 0.0049 - val_loss: 6.3070e-05 - val_mean_absolute_error: 0.0054
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 3.0010e-05 - mean_absolute_error: 0.0039 18/126 [===>..........................] - ETA: 0s - loss: 3.6891e-05 - mean_absolute_error: 0.0046 35/126 [=======>......................] - ETA: 0s - loss: 3.6303e-05 - mean_absolute_error: 0.0046 53/126 [===========>..................] - ETA: 0s - loss: 3.9304e-05 - mean_absolute_error: 0.0048 72/126 [================>.............] - ETA: 0s - loss: 4.6109e-05 - mean_absolute_error: 0.0053 89/126 [====================>.........] - ETA: 0s - loss: 4.4704e-05 - mean_absolute_error: 0.0051107/126 [========================>.....] - ETA: 0s - loss: 4.4018e-05 - mean_absolute_error: 0.0051124/126 [============================>.] - ETA: 0s - loss: 4.2970e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2735e-05 - mean_absolute_error: 0.0050 - val_loss: 8.3518e-05 - val_mean_absolute_error: 0.0068
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 8.6854e-05 - mean_absolute_error: 0.0064 18/126 [===>..........................] - ETA: 0s - loss: 4.5550e-05 - mean_absolute_error: 0.0053 35/126 [=======>......................] - ETA: 0s - loss: 4.3780e-05 - mean_absolute_error: 0.0052 52/126 [===========>..................] - ETA: 0s - loss: 3.9859e-05 - mean_absolute_error: 0.0049 69/126 [===============>..............] - ETA: 0s - loss: 3.8621e-05 - mean_absolute_error: 0.0047 85/126 [===================>..........] - ETA: 0s - loss: 3.7448e-05 - mean_absolute_error: 0.0045101/126 [=======================>......] - ETA: 0s - loss: 3.7403e-05 - mean_absolute_error: 0.0045117/126 [==========================>...] - ETA: 0s - loss: 3.7397e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.8016e-05 - mean_absolute_error: 0.0046 - val_loss: 6.7282e-05 - val_mean_absolute_error: 0.0058
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 3.1890e-05 - mean_absolute_error: 0.0042 18/126 [===>..........................] - ETA: 0s - loss: 4.1422e-05 - mean_absolute_error: 0.0050 35/126 [=======>......................] - ETA: 0s - loss: 4.2601e-05 - mean_absolute_error: 0.0051 52/126 [===========>..................] - ETA: 0s - loss: 3.8613e-05 - mean_absolute_error: 0.0047 70/126 [===============>..............] - ETA: 0s - loss: 3.8625e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 3.8593e-05 - mean_absolute_error: 0.0047105/126 [========================>.....] - ETA: 0s - loss: 3.8311e-05 - mean_absolute_error: 0.0047122/126 [============================>.] - ETA: 0s - loss: 3.7893e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8222e-05 - mean_absolute_error: 0.0046 - val_loss: 1.2622e-04 - val_mean_absolute_error: 0.0090
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 1.2525e-04 - mean_absolute_error: 0.0093 18/126 [===>..........................] - ETA: 0s - loss: 4.4438e-05 - mean_absolute_error: 0.0050 35/126 [=======>......................] - ETA: 0s - loss: 3.7686e-05 - mean_absolute_error: 0.0046 53/126 [===========>..................] - ETA: 0s - loss: 3.6722e-05 - mean_absolute_error: 0.0045 70/126 [===============>..............] - ETA: 0s - loss: 3.8641e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.8829e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.8262e-05 - mean_absolute_error: 0.0046122/126 [============================>.] - ETA: 0s - loss: 3.8265e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8676e-05 - mean_absolute_error: 0.0046 - val_loss: 1.3738e-04 - val_mean_absolute_error: 0.0099
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 7.4697e-05 - mean_absolute_error: 0.0075 18/126 [===>..........................] - ETA: 0s - loss: 4.3002e-05 - mean_absolute_error: 0.0051 36/126 [=======>......................] - ETA: 0s - loss: 3.9347e-05 - mean_absolute_error: 0.0047 52/126 [===========>..................] - ETA: 0s - loss: 3.8242e-05 - mean_absolute_error: 0.0047 69/126 [===============>..............] - ETA: 0s - loss: 3.8930e-05 - mean_absolute_error: 0.0047 87/126 [===================>..........] - ETA: 0s - loss: 3.8619e-05 - mean_absolute_error: 0.0047105/126 [========================>.....] - ETA: 0s - loss: 3.8726e-05 - mean_absolute_error: 0.0047124/126 [============================>.] - ETA: 0s - loss: 3.7980e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8006e-05 - mean_absolute_error: 0.0047 - val_loss: 8.6389e-05 - val_mean_absolute_error: 0.0070
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 6.0957e-05 - mean_absolute_error: 0.0063 18/126 [===>..........................] - ETA: 0s - loss: 3.9427e-05 - mean_absolute_error: 0.0048 36/126 [=======>......................] - ETA: 0s - loss: 4.1605e-05 - mean_absolute_error: 0.0049 53/126 [===========>..................] - ETA: 0s - loss: 4.1070e-05 - mean_absolute_error: 0.0049 70/126 [===============>..............] - ETA: 0s - loss: 3.8213e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.6554e-05 - mean_absolute_error: 0.0045104/126 [=======================>......] - ETA: 0s - loss: 3.6514e-05 - mean_absolute_error: 0.0044121/126 [===========================>..] - ETA: 0s - loss: 3.7045e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.7491e-05 - mean_absolute_error: 0.0046 - val_loss: 8.2573e-05 - val_mean_absolute_error: 0.0068
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 2.1496e-05 - mean_absolute_error: 0.0043 19/126 [===>..........................] - ETA: 0s - loss: 4.1162e-05 - mean_absolute_error: 0.0050 37/126 [=======>......................] - ETA: 0s - loss: 3.7594e-05 - mean_absolute_error: 0.0047 54/126 [===========>..................] - ETA: 0s - loss: 3.8541e-05 - mean_absolute_error: 0.0048 71/126 [===============>..............] - ETA: 0s - loss: 3.7577e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 3.9282e-05 - mean_absolute_error: 0.0047105/126 [========================>.....] - ETA: 0s - loss: 3.9495e-05 - mean_absolute_error: 0.0048122/126 [============================>.] - ETA: 0s - loss: 3.9022e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8798e-05 - mean_absolute_error: 0.0047 - val_loss: 6.1555e-05 - val_mean_absolute_error: 0.0055
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 1.8439e-05 - mean_absolute_error: 0.0031 18/126 [===>..........................] - ETA: 0s - loss: 4.3131e-05 - mean_absolute_error: 0.0052 35/126 [=======>......................] - ETA: 0s - loss: 4.2919e-05 - mean_absolute_error: 0.0051 52/126 [===========>..................] - ETA: 0s - loss: 4.8980e-05 - mean_absolute_error: 0.0055 69/126 [===============>..............] - ETA: 0s - loss: 4.6154e-05 - mean_absolute_error: 0.0052 87/126 [===================>..........] - ETA: 0s - loss: 4.4667e-05 - mean_absolute_error: 0.0051105/126 [========================>.....] - ETA: 0s - loss: 4.5311e-05 - mean_absolute_error: 0.0052123/126 [============================>.] - ETA: 0s - loss: 4.4376e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.4072e-05 - mean_absolute_error: 0.0051 - val_loss: 6.1211e-05 - val_mean_absolute_error: 0.0053
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 2.6197e-05 - mean_absolute_error: 0.0035 19/126 [===>..........................] - ETA: 0s - loss: 3.5512e-05 - mean_absolute_error: 0.0046 37/126 [=======>......................] - ETA: 0s - loss: 3.5026e-05 - mean_absolute_error: 0.0044 54/126 [===========>..................] - ETA: 0s - loss: 3.5915e-05 - mean_absolute_error: 0.0045 70/126 [===============>..............] - ETA: 0s - loss: 3.7580e-05 - mean_absolute_error: 0.0046 87/126 [===================>..........] - ETA: 0s - loss: 3.7198e-05 - mean_absolute_error: 0.0045103/126 [=======================>......] - ETA: 0s - loss: 3.7293e-05 - mean_absolute_error: 0.0045120/126 [===========================>..] - ETA: 0s - loss: 3.8486e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.8400e-05 - mean_absolute_error: 0.0046 - val_loss: 6.0689e-05 - val_mean_absolute_error: 0.0054
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 4.2202e-05 - mean_absolute_error: 0.0043 19/126 [===>..........................] - ETA: 0s - loss: 4.4899e-05 - mean_absolute_error: 0.0052 36/126 [=======>......................] - ETA: 0s - loss: 4.3404e-05 - mean_absolute_error: 0.0052 53/126 [===========>..................] - ETA: 0s - loss: 4.0174e-05 - mean_absolute_error: 0.0049 71/126 [===============>..............] - ETA: 0s - loss: 4.3587e-05 - mean_absolute_error: 0.0051 88/126 [===================>..........] - ETA: 0s - loss: 4.8384e-05 - mean_absolute_error: 0.0054106/126 [========================>.....] - ETA: 0s - loss: 4.7193e-05 - mean_absolute_error: 0.0053124/126 [============================>.] - ETA: 0s - loss: 4.5343e-05 - mean_absolute_error: 0.0052126/126 [==============================] - 0s 3ms/step - loss: 4.5272e-05 - mean_absolute_error: 0.0052 - val_loss: 6.2815e-05 - val_mean_absolute_error: 0.0057
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 3.8306e-05 - mean_absolute_error: 0.0049 18/126 [===>..........................] - ETA: 0s - loss: 3.8227e-05 - mean_absolute_error: 0.0045 35/126 [=======>......................] - ETA: 0s - loss: 4.0477e-05 - mean_absolute_error: 0.0047 52/126 [===========>..................] - ETA: 0s - loss: 4.0813e-05 - mean_absolute_error: 0.0047 69/126 [===============>..............] - ETA: 0s - loss: 3.8612e-05 - mean_absolute_error: 0.0045 86/126 [===================>..........] - ETA: 0s - loss: 3.7408e-05 - mean_absolute_error: 0.0045103/126 [=======================>......] - ETA: 0s - loss: 3.7043e-05 - mean_absolute_error: 0.0044120/126 [===========================>..] - ETA: 0s - loss: 3.8488e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.9483e-05 - mean_absolute_error: 0.0047 - val_loss: 6.1173e-05 - val_mean_absolute_error: 0.0054
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 3.0722e-05 - mean_absolute_error: 0.0043 18/126 [===>..........................] - ETA: 0s - loss: 4.0696e-05 - mean_absolute_error: 0.0045 36/126 [=======>......................] - ETA: 0s - loss: 3.7182e-05 - mean_absolute_error: 0.0043 54/126 [===========>..................] - ETA: 0s - loss: 3.6734e-05 - mean_absolute_error: 0.0044 71/126 [===============>..............] - ETA: 0s - loss: 3.6387e-05 - mean_absolute_error: 0.0044 88/126 [===================>..........] - ETA: 0s - loss: 3.5133e-05 - mean_absolute_error: 0.0043105/126 [========================>.....] - ETA: 0s - loss: 3.4806e-05 - mean_absolute_error: 0.0043122/126 [============================>.] - ETA: 0s - loss: 3.4614e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.4694e-05 - mean_absolute_error: 0.0043 - val_loss: 6.1593e-05 - val_mean_absolute_error: 0.0055
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 2.6609e-05 - mean_absolute_error: 0.0038 17/126 [===>..........................] - ETA: 0s - loss: 3.1423e-05 - mean_absolute_error: 0.0041 34/126 [=======>......................] - ETA: 0s - loss: 3.6115e-05 - mean_absolute_error: 0.0045 51/126 [===========>..................] - ETA: 0s - loss: 3.9788e-05 - mean_absolute_error: 0.0048 69/126 [===============>..............] - ETA: 0s - loss: 3.8704e-05 - mean_absolute_error: 0.0047 86/126 [===================>..........] - ETA: 0s - loss: 3.7170e-05 - mean_absolute_error: 0.0046104/126 [=======================>......] - ETA: 0s - loss: 3.6806e-05 - mean_absolute_error: 0.0045120/126 [===========================>..] - ETA: 0s - loss: 3.7184e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6967e-05 - mean_absolute_error: 0.0045 - val_loss: 7.8211e-05 - val_mean_absolute_error: 0.0066
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 3.3483e-05 - mean_absolute_error: 0.0047 18/126 [===>..........................] - ETA: 0s - loss: 6.3653e-05 - mean_absolute_error: 0.0064 35/126 [=======>......................] - ETA: 0s - loss: 6.1356e-05 - mean_absolute_error: 0.0062 53/126 [===========>..................] - ETA: 0s - loss: 5.1620e-05 - mean_absolute_error: 0.0054 69/126 [===============>..............] - ETA: 0s - loss: 4.6793e-05 - mean_absolute_error: 0.0051 87/126 [===================>..........] - ETA: 0s - loss: 4.3429e-05 - mean_absolute_error: 0.0049104/126 [=======================>......] - ETA: 0s - loss: 4.2090e-05 - mean_absolute_error: 0.0048122/126 [============================>.] - ETA: 0s - loss: 4.1665e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.1766e-05 - mean_absolute_error: 0.0049 - val_loss: 5.9817e-05 - val_mean_absolute_error: 0.0052
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 2.5018e-05 - mean_absolute_error: 0.0038 17/126 [===>..........................] - ETA: 0s - loss: 2.9399e-05 - mean_absolute_error: 0.0041 36/126 [=======>......................] - ETA: 0s - loss: 3.0047e-05 - mean_absolute_error: 0.0040 55/126 [============>.................] - ETA: 0s - loss: 3.6804e-05 - mean_absolute_error: 0.0045 72/126 [================>.............] - ETA: 0s - loss: 3.6701e-05 - mean_absolute_error: 0.0044 89/126 [====================>.........] - ETA: 0s - loss: 3.7709e-05 - mean_absolute_error: 0.0045107/126 [========================>.....] - ETA: 0s - loss: 3.7313e-05 - mean_absolute_error: 0.0046124/126 [============================>.] - ETA: 0s - loss: 3.7147e-05 - mean_absolute_error: 0.0046126/126 [==============================] - 0s 3ms/step - loss: 3.7183e-05 - mean_absolute_error: 0.0046 - val_loss: 7.5013e-05 - val_mean_absolute_error: 0.0067
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 4.6907e-05 - mean_absolute_error: 0.0057 18/126 [===>..........................] - ETA: 0s - loss: 6.1001e-05 - mean_absolute_error: 0.0064 35/126 [=======>......................] - ETA: 0s - loss: 5.0990e-05 - mean_absolute_error: 0.0057 52/126 [===========>..................] - ETA: 0s - loss: 4.9058e-05 - mean_absolute_error: 0.0055 69/126 [===============>..............] - ETA: 0s - loss: 4.5005e-05 - mean_absolute_error: 0.0051 86/126 [===================>..........] - ETA: 0s - loss: 4.2955e-05 - mean_absolute_error: 0.0049102/126 [=======================>......] - ETA: 0s - loss: 4.2421e-05 - mean_absolute_error: 0.0049119/126 [===========================>..] - ETA: 0s - loss: 4.3078e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.3928e-05 - mean_absolute_error: 0.0051 - val_loss: 6.2973e-05 - val_mean_absolute_error: 0.0057
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 1.6398e-05 - mean_absolute_error: 0.0029 18/126 [===>..........................] - ETA: 0s - loss: 3.2154e-05 - mean_absolute_error: 0.0043 35/126 [=======>......................] - ETA: 0s - loss: 3.9733e-05 - mean_absolute_error: 0.0049 52/126 [===========>..................] - ETA: 0s - loss: 4.1526e-05 - mean_absolute_error: 0.0050 69/126 [===============>..............] - ETA: 0s - loss: 4.0259e-05 - mean_absolute_error: 0.0048 86/126 [===================>..........] - ETA: 0s - loss: 3.9510e-05 - mean_absolute_error: 0.0048103/126 [=======================>......] - ETA: 0s - loss: 3.9050e-05 - mean_absolute_error: 0.0048121/126 [===========================>..] - ETA: 0s - loss: 3.8543e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8627e-05 - mean_absolute_error: 0.0047 - val_loss: 5.9821e-05 - val_mean_absolute_error: 0.0053
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 2.2540e-05 - mean_absolute_error: 0.0035 19/126 [===>..........................] - ETA: 0s - loss: 3.5646e-05 - mean_absolute_error: 0.0045 36/126 [=======>......................] - ETA: 0s - loss: 3.4346e-05 - mean_absolute_error: 0.0044 53/126 [===========>..................] - ETA: 0s - loss: 3.4805e-05 - mean_absolute_error: 0.0044 70/126 [===============>..............] - ETA: 0s - loss: 3.4314e-05 - mean_absolute_error: 0.0044 87/126 [===================>..........] - ETA: 0s - loss: 3.4595e-05 - mean_absolute_error: 0.0043104/126 [=======================>......] - ETA: 0s - loss: 3.4151e-05 - mean_absolute_error: 0.0043120/126 [===========================>..] - ETA: 0s - loss: 3.3698e-05 - mean_absolute_error: 0.0043126/126 [==============================] - 0s 3ms/step - loss: 3.4323e-05 - mean_absolute_error: 0.0043 - val_loss: 8.5482e-05 - val_mean_absolute_error: 0.0073
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 3.2174e-05 - mean_absolute_error: 0.0046 19/126 [===>..........................] - ETA: 0s - loss: 3.7736e-05 - mean_absolute_error: 0.0046 37/126 [=======>......................] - ETA: 0s - loss: 4.0003e-05 - mean_absolute_error: 0.0048 54/126 [===========>..................] - ETA: 0s - loss: 3.9408e-05 - mean_absolute_error: 0.0047 72/126 [================>.............] - ETA: 0s - loss: 3.9943e-05 - mean_absolute_error: 0.0048 89/126 [====================>.........] - ETA: 0s - loss: 3.9870e-05 - mean_absolute_error: 0.0048106/126 [========================>.....] - ETA: 0s - loss: 3.9034e-05 - mean_absolute_error: 0.0047123/126 [============================>.] - ETA: 0s - loss: 3.8976e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.9443e-05 - mean_absolute_error: 0.0048 - val_loss: 8.5046e-05 - val_mean_absolute_error: 0.0073
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 3.8484e-05 - mean_absolute_error: 0.0052 18/126 [===>..........................] - ETA: 0s - loss: 4.3234e-05 - mean_absolute_error: 0.0051 35/126 [=======>......................] - ETA: 0s - loss: 4.6357e-05 - mean_absolute_error: 0.0053 53/126 [===========>..................] - ETA: 0s - loss: 4.9512e-05 - mean_absolute_error: 0.0055 70/126 [===============>..............] - ETA: 0s - loss: 4.8866e-05 - mean_absolute_error: 0.0055 88/126 [===================>..........] - ETA: 0s - loss: 4.6289e-05 - mean_absolute_error: 0.0053105/126 [========================>.....] - ETA: 0s - loss: 4.3963e-05 - mean_absolute_error: 0.0051123/126 [============================>.] - ETA: 0s - loss: 4.2501e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2579e-05 - mean_absolute_error: 0.0050 - val_loss: 6.0800e-05 - val_mean_absolute_error: 0.0055
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 3.4834e-05 - mean_absolute_error: 0.0048 18/126 [===>..........................] - ETA: 0s - loss: 3.0457e-05 - mean_absolute_error: 0.0043 35/126 [=======>......................] - ETA: 0s - loss: 3.4471e-05 - mean_absolute_error: 0.0045 52/126 [===========>..................] - ETA: 0s - loss: 3.4559e-05 - mean_absolute_error: 0.0045 68/126 [===============>..............] - ETA: 0s - loss: 3.7425e-05 - mean_absolute_error: 0.0047 85/126 [===================>..........] - ETA: 0s - loss: 3.6706e-05 - mean_absolute_error: 0.0046102/126 [=======================>......] - ETA: 0s - loss: 3.8029e-05 - mean_absolute_error: 0.0047120/126 [===========================>..] - ETA: 0s - loss: 3.8673e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 3.8330e-05 - mean_absolute_error: 0.0047 - val_loss: 6.0942e-05 - val_mean_absolute_error: 0.0054
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 2.6883e-05 - mean_absolute_error: 0.0039 19/126 [===>..........................] - ETA: 0s - loss: 3.3605e-05 - mean_absolute_error: 0.0043 37/126 [=======>......................] - ETA: 0s - loss: 3.3488e-05 - mean_absolute_error: 0.0043 54/126 [===========>..................] - ETA: 0s - loss: 4.0046e-05 - mean_absolute_error: 0.0048 72/126 [================>.............] - ETA: 0s - loss: 4.0539e-05 - mean_absolute_error: 0.0049 89/126 [====================>.........] - ETA: 0s - loss: 4.2052e-05 - mean_absolute_error: 0.0050106/126 [========================>.....] - ETA: 0s - loss: 4.1192e-05 - mean_absolute_error: 0.0049124/126 [============================>.] - ETA: 0s - loss: 4.0627e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 4.0536e-05 - mean_absolute_error: 0.0048 - val_loss: 1.0344e-04 - val_mean_absolute_error: 0.0083
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 7.1508e-05 - mean_absolute_error: 0.0070 18/126 [===>..........................] - ETA: 0s - loss: 3.3913e-05 - mean_absolute_error: 0.0045 36/126 [=======>......................] - ETA: 0s - loss: 3.6394e-05 - mean_absolute_error: 0.0047 54/126 [===========>..................] - ETA: 0s - loss: 4.1196e-05 - mean_absolute_error: 0.0049 72/126 [================>.............] - ETA: 0s - loss: 4.1176e-05 - mean_absolute_error: 0.0050 89/126 [====================>.........] - ETA: 0s - loss: 4.1943e-05 - mean_absolute_error: 0.0050106/126 [========================>.....] - ETA: 0s - loss: 4.3700e-05 - mean_absolute_error: 0.0051123/126 [============================>.] - ETA: 0s - loss: 4.2694e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2440e-05 - mean_absolute_error: 0.0050 - val_loss: 6.4173e-05 - val_mean_absolute_error: 0.0057
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 3.8691e-05 - mean_absolute_error: 0.0048 18/126 [===>..........................] - ETA: 0s - loss: 4.5824e-05 - mean_absolute_error: 0.0051 35/126 [=======>......................] - ETA: 0s - loss: 4.5165e-05 - mean_absolute_error: 0.0052 54/126 [===========>..................] - ETA: 0s - loss: 4.5408e-05 - mean_absolute_error: 0.0052 73/126 [================>.............] - ETA: 0s - loss: 4.3599e-05 - mean_absolute_error: 0.0051 91/126 [====================>.........] - ETA: 0s - loss: 4.1974e-05 - mean_absolute_error: 0.0050108/126 [========================>.....] - ETA: 0s - loss: 4.1644e-05 - mean_absolute_error: 0.0049126/126 [==============================] - ETA: 0s - loss: 4.2076e-05 - mean_absolute_error: 0.0050126/126 [==============================] - 0s 3ms/step - loss: 4.2076e-05 - mean_absolute_error: 0.0050 - val_loss: 8.2407e-05 - val_mean_absolute_error: 0.0072
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 5.0482e-05 - mean_absolute_error: 0.0062 18/126 [===>..........................] - ETA: 0s - loss: 4.0063e-05 - mean_absolute_error: 0.0049 35/126 [=======>......................] - ETA: 0s - loss: 5.0184e-05 - mean_absolute_error: 0.0056 53/126 [===========>..................] - ETA: 0s - loss: 4.4818e-05 - mean_absolute_error: 0.0051 70/126 [===============>..............] - ETA: 0s - loss: 4.2717e-05 - mean_absolute_error: 0.0050 89/126 [====================>.........] - ETA: 0s - loss: 4.1642e-05 - mean_absolute_error: 0.0049109/126 [========================>.....] - ETA: 0s - loss: 4.1127e-05 - mean_absolute_error: 0.0049126/126 [==============================] - 0s 3ms/step - loss: 4.0238e-05 - mean_absolute_error: 0.0048 - val_loss: 7.5253e-05 - val_mean_absolute_error: 0.0067
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 5.0523e-05 - mean_absolute_error: 0.0053 18/126 [===>..........................] - ETA: 0s - loss: 5.5456e-05 - mean_absolute_error: 0.0059 34/126 [=======>......................] - ETA: 0s - loss: 4.7637e-05 - mean_absolute_error: 0.0053 52/126 [===========>..................] - ETA: 0s - loss: 4.3101e-05 - mean_absolute_error: 0.0050 69/126 [===============>..............] - ETA: 0s - loss: 4.0623e-05 - mean_absolute_error: 0.0048 87/126 [===================>..........] - ETA: 0s - loss: 3.9535e-05 - mean_absolute_error: 0.0047104/126 [=======================>......] - ETA: 0s - loss: 4.0508e-05 - mean_absolute_error: 0.0048121/126 [===========================>..] - ETA: 0s - loss: 4.0364e-05 - mean_absolute_error: 0.0048126/126 [==============================] - 0s 3ms/step - loss: 3.9899e-05 - mean_absolute_error: 0.0048 - val_loss: 6.0928e-05 - val_mean_absolute_error: 0.0056
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 2.5823e-05 - mean_absolute_error: 0.0036 18/126 [===>..........................] - ETA: 0s - loss: 4.8028e-05 - mean_absolute_error: 0.0052 36/126 [=======>......................] - ETA: 0s - loss: 4.2163e-05 - mean_absolute_error: 0.0048 53/126 [===========>..................] - ETA: 0s - loss: 3.8865e-05 - mean_absolute_error: 0.0046 71/126 [===============>..............] - ETA: 0s - loss: 3.6974e-05 - mean_absolute_error: 0.0045 88/126 [===================>..........] - ETA: 0s - loss: 3.8872e-05 - mean_absolute_error: 0.0046105/126 [========================>.....] - ETA: 0s - loss: 3.8398e-05 - mean_absolute_error: 0.0046123/126 [============================>.] - ETA: 0s - loss: 3.8684e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8330e-05 - mean_absolute_error: 0.0047 - val_loss: 5.8344e-05 - val_mean_absolute_error: 0.0052
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 2.2103e-05 - mean_absolute_error: 0.0032 18/126 [===>..........................] - ETA: 0s - loss: 4.7059e-05 - mean_absolute_error: 0.0054 36/126 [=======>......................] - ETA: 0s - loss: 4.2679e-05 - mean_absolute_error: 0.0050 54/126 [===========>..................] - ETA: 0s - loss: 4.1406e-05 - mean_absolute_error: 0.0049 71/126 [===============>..............] - ETA: 0s - loss: 3.9567e-05 - mean_absolute_error: 0.0047 88/126 [===================>..........] - ETA: 0s - loss: 3.7909e-05 - mean_absolute_error: 0.0046105/126 [========================>.....] - ETA: 0s - loss: 3.7526e-05 - mean_absolute_error: 0.0046122/126 [============================>.] - ETA: 0s - loss: 3.8051e-05 - mean_absolute_error: 0.0047126/126 [==============================] - 0s 3ms/step - loss: 3.8199e-05 - mean_absolute_error: 0.0047 - val_loss: 8.8956e-05 - val_mean_absolute_error: 0.0072
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 6.0975e-05 - mean_absolute_error: 0.0062 18/126 [===>..........................] - ETA: 0s - loss: 3.2306e-05 - mean_absolute_error: 0.0044 35/126 [=======>......................] - ETA: 0s - loss: 3.4664e-05 - mean_absolute_error: 0.0045 53/126 [===========>..................] - ETA: 0s - loss: 3.3181e-05 - mean_absolute_error: 0.0043 70/126 [===============>..............] - ETA: 0s - loss: 3.4669e-05 - mean_absolute_error: 0.0044 87/126 [===================>..........] - ETA: 0s - loss: 3.4830e-05 - mean_absolute_error: 0.0044104/126 [=======================>......] - ETA: 0s - loss: 3.4668e-05 - mean_absolute_error: 0.0044121/126 [===========================>..] - ETA: 0s - loss: 3.4641e-05 - mean_absolute_error: 0.0044126/126 [==============================] - 0s 3ms/step - loss: 3.4332e-05 - mean_absolute_error: 0.0043 - val_loss: 7.5699e-05 - val_mean_absolute_error: 0.0065
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 6.7554e-05 - mean_absolute_error: 0.0070 18/126 [===>..........................] - ETA: 0s - loss: 3.2719e-05 - mean_absolute_error: 0.0043 36/126 [=======>......................] - ETA: 0s - loss: 2.9123e-05 - mean_absolute_error: 0.0039 53/126 [===========>..................] - ETA: 0s - loss: 3.2177e-05 - mean_absolute_error: 0.0041 70/126 [===============>..............] - ETA: 0s - loss: 3.2539e-05 - mean_absolute_error: 0.0042 88/126 [===================>..........] - ETA: 0s - loss: 3.2669e-05 - mean_absolute_error: 0.0042106/126 [========================>.....] - ETA: 0s - loss: 3.4856e-05 - mean_absolute_error: 0.0044124/126 [============================>.] - ETA: 0s - loss: 3.6408e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6307e-05 - mean_absolute_error: 0.0045 - val_loss: 7.3647e-05 - val_mean_absolute_error: 0.0063
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 4.7488e-05 - mean_absolute_error: 0.0059 18/126 [===>..........................] - ETA: 0s - loss: 3.4105e-05 - mean_absolute_error: 0.0044 35/126 [=======>......................] - ETA: 0s - loss: 3.7540e-05 - mean_absolute_error: 0.0046 52/126 [===========>..................] - ETA: 0s - loss: 3.8211e-05 - mean_absolute_error: 0.0048 69/126 [===============>..............] - ETA: 0s - loss: 3.7294e-05 - mean_absolute_error: 0.0046 86/126 [===================>..........] - ETA: 0s - loss: 3.6186e-05 - mean_absolute_error: 0.0045103/126 [=======================>......] - ETA: 0s - loss: 3.4838e-05 - mean_absolute_error: 0.0044120/126 [===========================>..] - ETA: 0s - loss: 3.6761e-05 - mean_absolute_error: 0.0045126/126 [==============================] - 0s 3ms/step - loss: 3.6970e-05 - mean_absolute_error: 0.0045 - val_loss: 5.8968e-05 - val_mean_absolute_error: 0.0055
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 2.6687e-05 - mean_absolute_error: 0.0041 18/126 [===>..........................] - ETA: 0s - loss: 3.1590e-05 - mean_absolute_error: 0.0039 35/126 [=======>......................] - ETA: 0s - loss: 3.2293e-05 - mean_absolute_error: 0.0040 52/126 [===========>..................] - ETA: 0s - loss: 3.0912e-05 - mean_absolute_error: 0.0040 69/126 [===============>..............] - ETA: 0s - loss: 3.2160e-05 - mean_absolute_error: 0.0041 86/126 [===================>..........] - ETA: 0s - loss: 3.3849e-05 - mean_absolute_error: 0.0043103/126 [=======================>......] - ETA: 0s - loss: 3.3445e-05 - mean_absolute_error: 0.0042120/126 [===========================>..] - ETA: 0s - loss: 3.3319e-05 - mean_absolute_error: 0.0042126/126 [==============================] - 0s 3ms/step - loss: 3.3041e-05 - mean_absolute_error: 0.0042 - val_loss: 8.3740e-05 - val_mean_absolute_error: 0.0069

<keras.src.callbacks.History at 0x28ea25d2e10>

After the training and fitting of the Machine Learning model for the United Kingdom, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for United Kingdom with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
united_kingdom_train_pred = united_kingdom_model.predict(X_united_kingdom_train).flatten()

plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4)
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Training Set Predictions vs. Observations")
plt.show()

united_kingdom_val_pred = united_kingdom_model.predict(X_united_kingdom_val).flatten()

plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Validation Set Predictions vs. Observations")
plt.show()

united_kingdom_test_pred = united_kingdom_model.predict(X_united_kingdom_test).flatten()

plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("United Kingdom - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 39s 33/126 [======>.......................] - ETA: 0s  65/126 [==============>...............] - ETA: 0s 97/126 [======================>.......] - ETA: 0s126/126 [==============================] - 1s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting the United Kingdom’s international currency rate with the United States.

```{python}
# Plotting United Kingdom's observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model) 
plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4)
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1)
plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4)
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1)
plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4)
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of United Kingdom's Dataset - Predictions vs. Observations")
plt.show()
```

Lastly, I worked on Switzerland’s data (as shown below):

Since the data (date, X, and y) is split into three np.arrays and to be more efficient, I will manually split Switzerland’s data into train, test, and validation datasets for the Machine Learning model with 80% going to the training dataset, the next 10% going to the validation dataset, and the last 10% going to the test dataset for each np.array respectively.

```{python}
# Splitting Switzerland's data into train, test, and validation sets on 3 
# mediums: the X-axis, the y-axis, and the indices (represented by dates)
dates_switzerland_train, X_switzerland_train, y_switzerland_train = dates_switzerland[:percentile_80], X_switzerland[:percentile_80], y_switzerland[:percentile_80]
dates_switzerland_val, X_switzerland_val, y_switzerland_val = dates_switzerland[percentile_80:percentile_90], X_switzerland[percentile_80:percentile_90], y_switzerland[percentile_80:percentile_90]
dates_switzerland_test, X_switzerland_test, y_switzerland_test = dates_switzerland[percentile_90:], X_switzerland[percentile_90:], y_switzerland[percentile_90:]

plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)

plt.legend(["Training", "Validation", "Testing"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Split of Switzerland's Data for LSTM Model")
plt.show()
```

Now, I began to configure the Machine Learning model. We added Sequential layers: an Input layer 3 by 1 because we will have 3 np.arrays of Input and 1 np.array as output, utilize a LSTM (Long Short-Term Memory) layer of 64 neurons, apply 2 levels of dense layers with 32 neurons and folliowing recommendations online to use the RELU (Rectified Linear Unit) Activiation Function, and I followed up with one last dense layer of 1 neuron as our output layer since we are just trying to linearly-predict the next currency-rate on a near-future date. Once I configured the Sequential layers, we are ready to compile the model, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing our X_train and Y_train datasets for fitting with validation from our X_valid and Y_valid datasets at 100 epochs.

```{python}
# Configuring the Machine Learning Tensorflow Model for Switzerland
switzerland_model = Sequential([layers.Input((3, 1)),
                    layers.LSTM(64),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(32, activation="relu"),
                    layers.Dense(1)])

switzerland_model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

switzerland_model.fit(X_switzerland_train, y_switzerland_train, validation_data=(X_switzerland_val, y_switzerland_val), epochs=100)
```

Epoch 1/100
  1/126 [..............................] - ETA: 3:26 - loss: 1.4291 - mean_absolute_error: 1.1754 17/126 [===>..........................] - ETA: 0s - loss: 1.2330 - mean_absolute_error: 1.0812   33/126 [======>.......................] - ETA: 0s - loss: 0.8996 - mean_absolute_error: 0.8955 53/126 [===========>..................] - ETA: 0s - loss: 0.5747 - mean_absolute_error: 0.6229 72/126 [================>.............] - ETA: 0s - loss: 0.4257 - mean_absolute_error: 0.4782 90/126 [====================>.........] - ETA: 0s - loss: 0.3418 - mean_absolute_error: 0.3961108/126 [========================>.....] - ETA: 0s - loss: 0.2855 - mean_absolute_error: 0.3390125/126 [============================>.] - ETA: 0s - loss: 0.2472 - mean_absolute_error: 0.2998126/126 [==============================] - 2s 6ms/step - loss: 0.2465 - mean_absolute_error: 0.2991 - val_loss: 0.0022 - val_mean_absolute_error: 0.0460
Epoch 2/100
  1/126 [..............................] - ETA: 0s - loss: 0.0023 - mean_absolute_error: 0.0405 18/126 [===>..........................] - ETA: 0s - loss: 0.0031 - mean_absolute_error: 0.0465 36/126 [=======>......................] - ETA: 0s - loss: 0.0027 - mean_absolute_error: 0.0429 53/126 [===========>..................] - ETA: 0s - loss: 0.0024 - mean_absolute_error: 0.0399 70/126 [===============>..............] - ETA: 0s - loss: 0.0021 - mean_absolute_error: 0.0377 87/126 [===================>..........] - ETA: 0s - loss: 0.0019 - mean_absolute_error: 0.0349104/126 [=======================>......] - ETA: 0s - loss: 0.0016 - mean_absolute_error: 0.0319120/126 [===========================>..] - ETA: 0s - loss: 0.0015 - mean_absolute_error: 0.0294126/126 [==============================] - 0s 3ms/step - loss: 0.0014 - mean_absolute_error: 0.0286 - val_loss: 5.3067e-05 - val_mean_absolute_error: 0.0058
Epoch 3/100
  1/126 [..............................] - ETA: 0s - loss: 3.2105e-04 - mean_absolute_error: 0.0146 18/126 [===>..........................] - ETA: 0s - loss: 2.0471e-04 - mean_absolute_error: 0.0104 35/126 [=======>......................] - ETA: 0s - loss: 1.6763e-04 - mean_absolute_error: 0.0097 52/126 [===========>..................] - ETA: 0s - loss: 1.6052e-04 - mean_absolute_error: 0.0096 69/126 [===============>..............] - ETA: 0s - loss: 1.6205e-04 - mean_absolute_error: 0.0096 85/126 [===================>..........] - ETA: 0s - loss: 1.5798e-04 - mean_absolute_error: 0.0096101/126 [=======================>......] - ETA: 0s - loss: 1.5456e-04 - mean_absolute_error: 0.0094118/126 [===========================>..] - ETA: 0s - loss: 1.5237e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 3ms/step - loss: 1.5570e-04 - mean_absolute_error: 0.0094 - val_loss: 6.4357e-05 - val_mean_absolute_error: 0.0065
Epoch 4/100
  1/126 [..............................] - ETA: 0s - loss: 1.3212e-04 - mean_absolute_error: 0.0093 17/126 [===>..........................] - ETA: 0s - loss: 1.3902e-04 - mean_absolute_error: 0.0090 34/126 [=======>......................] - ETA: 0s - loss: 1.3248e-04 - mean_absolute_error: 0.0087 51/126 [===========>..................] - ETA: 0s - loss: 1.3703e-04 - mean_absolute_error: 0.0088 68/126 [===============>..............] - ETA: 0s - loss: 1.3350e-04 - mean_absolute_error: 0.0088 85/126 [===================>..........] - ETA: 0s - loss: 1.3935e-04 - mean_absolute_error: 0.0088103/126 [=======================>......] - ETA: 0s - loss: 1.3696e-04 - mean_absolute_error: 0.0088121/126 [===========================>..] - ETA: 0s - loss: 1.4012e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.4079e-04 - mean_absolute_error: 0.0088 - val_loss: 6.7556e-05 - val_mean_absolute_error: 0.0066
Epoch 5/100
  1/126 [..............................] - ETA: 0s - loss: 1.6705e-04 - mean_absolute_error: 0.0099 17/126 [===>..........................] - ETA: 0s - loss: 1.6085e-04 - mean_absolute_error: 0.0088 34/126 [=======>......................] - ETA: 0s - loss: 1.4909e-04 - mean_absolute_error: 0.0089 50/126 [==========>...................] - ETA: 0s - loss: 1.5643e-04 - mean_absolute_error: 0.0090 66/126 [==============>...............] - ETA: 0s - loss: 1.5202e-04 - mean_absolute_error: 0.0090 83/126 [==================>...........] - ETA: 0s - loss: 1.4786e-04 - mean_absolute_error: 0.0090101/126 [=======================>......] - ETA: 0s - loss: 1.4477e-04 - mean_absolute_error: 0.0089120/126 [===========================>..] - ETA: 0s - loss: 1.4451e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4320e-04 - mean_absolute_error: 0.0089 - val_loss: 6.4500e-05 - val_mean_absolute_error: 0.0065
Epoch 6/100
  1/126 [..............................] - ETA: 0s - loss: 1.6333e-04 - mean_absolute_error: 0.0105 18/126 [===>..........................] - ETA: 0s - loss: 1.8415e-04 - mean_absolute_error: 0.0098 34/126 [=======>......................] - ETA: 0s - loss: 1.6339e-04 - mean_absolute_error: 0.0095 51/126 [===========>..................] - ETA: 0s - loss: 1.5359e-04 - mean_absolute_error: 0.0092 68/126 [===============>..............] - ETA: 0s - loss: 1.5201e-04 - mean_absolute_error: 0.0092 84/126 [===================>..........] - ETA: 0s - loss: 1.4600e-04 - mean_absolute_error: 0.0090101/126 [=======================>......] - ETA: 0s - loss: 1.4051e-04 - mean_absolute_error: 0.0089118/126 [===========================>..] - ETA: 0s - loss: 1.4416e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4486e-04 - mean_absolute_error: 0.0089 - val_loss: 5.1290e-05 - val_mean_absolute_error: 0.0057
Epoch 7/100
  1/126 [..............................] - ETA: 0s - loss: 1.7885e-04 - mean_absolute_error: 0.0104 18/126 [===>..........................] - ETA: 0s - loss: 1.2385e-04 - mean_absolute_error: 0.0084 35/126 [=======>......................] - ETA: 0s - loss: 1.5404e-04 - mean_absolute_error: 0.0091 52/126 [===========>..................] - ETA: 0s - loss: 1.4984e-04 - mean_absolute_error: 0.0091 69/126 [===============>..............] - ETA: 0s - loss: 1.4497e-04 - mean_absolute_error: 0.0090 87/126 [===================>..........] - ETA: 0s - loss: 1.4536e-04 - mean_absolute_error: 0.0090105/126 [========================>.....] - ETA: 0s - loss: 1.4833e-04 - mean_absolute_error: 0.0092123/126 [============================>.] - ETA: 0s - loss: 1.5043e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5040e-04 - mean_absolute_error: 0.0092 - val_loss: 4.9849e-05 - val_mean_absolute_error: 0.0055
Epoch 8/100
  1/126 [..............................] - ETA: 0s - loss: 1.1261e-04 - mean_absolute_error: 0.0078 18/126 [===>..........................] - ETA: 0s - loss: 1.3625e-04 - mean_absolute_error: 0.0089 35/126 [=======>......................] - ETA: 0s - loss: 1.4429e-04 - mean_absolute_error: 0.0091 52/126 [===========>..................] - ETA: 0s - loss: 1.3742e-04 - mean_absolute_error: 0.0089 70/126 [===============>..............] - ETA: 0s - loss: 1.5444e-04 - mean_absolute_error: 0.0091 88/126 [===================>..........] - ETA: 0s - loss: 1.5450e-04 - mean_absolute_error: 0.0092105/126 [========================>.....] - ETA: 0s - loss: 1.5183e-04 - mean_absolute_error: 0.0092122/126 [============================>.] - ETA: 0s - loss: 1.5108e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 3ms/step - loss: 1.5071e-04 - mean_absolute_error: 0.0092 - val_loss: 5.0247e-05 - val_mean_absolute_error: 0.0055
Epoch 9/100
  1/126 [..............................] - ETA: 0s - loss: 1.0614e-04 - mean_absolute_error: 0.0083 17/126 [===>..........................] - ETA: 0s - loss: 1.4682e-04 - mean_absolute_error: 0.0093 34/126 [=======>......................] - ETA: 0s - loss: 1.4913e-04 - mean_absolute_error: 0.0093 51/126 [===========>..................] - ETA: 0s - loss: 1.3889e-04 - mean_absolute_error: 0.0090 68/126 [===============>..............] - ETA: 0s - loss: 1.3852e-04 - mean_absolute_error: 0.0090 85/126 [===================>..........] - ETA: 0s - loss: 1.4475e-04 - mean_absolute_error: 0.0090102/126 [=======================>......] - ETA: 0s - loss: 1.4460e-04 - mean_absolute_error: 0.0091119/126 [===========================>..] - ETA: 0s - loss: 1.4579e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.5068e-04 - mean_absolute_error: 0.0092 - val_loss: 4.9775e-05 - val_mean_absolute_error: 0.0055
Epoch 10/100
  1/126 [..............................] - ETA: 0s - loss: 1.2337e-04 - mean_absolute_error: 0.0086 18/126 [===>..........................] - ETA: 0s - loss: 1.6897e-04 - mean_absolute_error: 0.0092 35/126 [=======>......................] - ETA: 0s - loss: 1.6316e-04 - mean_absolute_error: 0.0094 52/126 [===========>..................] - ETA: 0s - loss: 1.5577e-04 - mean_absolute_error: 0.0092 70/126 [===============>..............] - ETA: 0s - loss: 1.5762e-04 - mean_absolute_error: 0.0093 88/126 [===================>..........] - ETA: 0s - loss: 1.5667e-04 - mean_absolute_error: 0.0092106/126 [========================>.....] - ETA: 0s - loss: 1.5162e-04 - mean_absolute_error: 0.0091122/126 [============================>.] - ETA: 0s - loss: 1.4849e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 3ms/step - loss: 1.4807e-04 - mean_absolute_error: 0.0090 - val_loss: 5.6631e-05 - val_mean_absolute_error: 0.0060
Epoch 11/100
  1/126 [..............................] - ETA: 0s - loss: 1.3402e-04 - mean_absolute_error: 0.0088 18/126 [===>..........................] - ETA: 0s - loss: 1.5468e-04 - mean_absolute_error: 0.0094 36/126 [=======>......................] - ETA: 0s - loss: 1.5877e-04 - mean_absolute_error: 0.0093 54/126 [===========>..................] - ETA: 0s - loss: 1.4982e-04 - mean_absolute_error: 0.0091 72/126 [================>.............] - ETA: 0s - loss: 1.4671e-04 - mean_absolute_error: 0.0090 89/126 [====================>.........] - ETA: 0s - loss: 1.5044e-04 - mean_absolute_error: 0.0091106/126 [========================>.....] - ETA: 0s - loss: 1.4576e-04 - mean_absolute_error: 0.0090125/126 [============================>.] - ETA: 0s - loss: 1.4750e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4784e-04 - mean_absolute_error: 0.0091 - val_loss: 6.4907e-05 - val_mean_absolute_error: 0.0065
Epoch 12/100
  1/126 [..............................] - ETA: 0s - loss: 2.3304e-04 - mean_absolute_error: 0.0121 17/126 [===>..........................] - ETA: 0s - loss: 2.1026e-04 - mean_absolute_error: 0.0099 35/126 [=======>......................] - ETA: 0s - loss: 1.8578e-04 - mean_absolute_error: 0.0100 52/126 [===========>..................] - ETA: 0s - loss: 1.9018e-04 - mean_absolute_error: 0.0103 70/126 [===============>..............] - ETA: 0s - loss: 1.8570e-04 - mean_absolute_error: 0.0102 88/126 [===================>..........] - ETA: 0s - loss: 1.7441e-04 - mean_absolute_error: 0.0099107/126 [========================>.....] - ETA: 0s - loss: 1.6706e-04 - mean_absolute_error: 0.0097126/126 [==============================] - ETA: 0s - loss: 1.6503e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 3ms/step - loss: 1.6503e-04 - mean_absolute_error: 0.0096 - val_loss: 5.5508e-05 - val_mean_absolute_error: 0.0060
Epoch 13/100
  1/126 [..............................] - ETA: 0s - loss: 1.9280e-04 - mean_absolute_error: 0.0107 19/126 [===>..........................] - ETA: 0s - loss: 1.3298e-04 - mean_absolute_error: 0.0088 37/126 [=======>......................] - ETA: 0s - loss: 1.3698e-04 - mean_absolute_error: 0.0090 55/126 [============>.................] - ETA: 0s - loss: 1.3556e-04 - mean_absolute_error: 0.0089 73/126 [================>.............] - ETA: 0s - loss: 1.3497e-04 - mean_absolute_error: 0.0089 90/126 [====================>.........] - ETA: 0s - loss: 1.3747e-04 - mean_absolute_error: 0.0090108/126 [========================>.....] - ETA: 0s - loss: 1.4673e-04 - mean_absolute_error: 0.0092124/126 [============================>.] - ETA: 0s - loss: 1.4955e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4911e-04 - mean_absolute_error: 0.0091 - val_loss: 5.5799e-05 - val_mean_absolute_error: 0.0060
Epoch 14/100
  1/126 [..............................] - ETA: 0s - loss: 9.8974e-05 - mean_absolute_error: 0.0078 18/126 [===>..........................] - ETA: 0s - loss: 1.2468e-04 - mean_absolute_error: 0.0084 35/126 [=======>......................] - ETA: 0s - loss: 1.3774e-04 - mean_absolute_error: 0.0089 51/126 [===========>..................] - ETA: 0s - loss: 1.4434e-04 - mean_absolute_error: 0.0092 68/126 [===============>..............] - ETA: 0s - loss: 1.5021e-04 - mean_absolute_error: 0.0092 84/126 [===================>..........] - ETA: 0s - loss: 1.6071e-04 - mean_absolute_error: 0.0094101/126 [=======================>......] - ETA: 0s - loss: 1.5474e-04 - mean_absolute_error: 0.0093118/126 [===========================>..] - ETA: 0s - loss: 1.5013e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4806e-04 - mean_absolute_error: 0.0091 - val_loss: 5.0807e-05 - val_mean_absolute_error: 0.0056
Epoch 15/100
  1/126 [..............................] - ETA: 0s - loss: 1.4280e-04 - mean_absolute_error: 0.0091 17/126 [===>..........................] - ETA: 0s - loss: 1.4088e-04 - mean_absolute_error: 0.0094 33/126 [======>.......................] - ETA: 0s - loss: 1.5779e-04 - mean_absolute_error: 0.0093 49/126 [==========>...................] - ETA: 0s - loss: 1.4894e-04 - mean_absolute_error: 0.0092 66/126 [==============>...............] - ETA: 0s - loss: 1.5141e-04 - mean_absolute_error: 0.0091 83/126 [==================>...........] - ETA: 0s - loss: 1.4701e-04 - mean_absolute_error: 0.0089 98/126 [======================>.......] - ETA: 0s - loss: 1.4704e-04 - mean_absolute_error: 0.0090113/126 [=========================>....] - ETA: 0s - loss: 1.4443e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 4ms/step - loss: 1.4665e-04 - mean_absolute_error: 0.0090 - val_loss: 5.1480e-05 - val_mean_absolute_error: 0.0057
Epoch 16/100
  1/126 [..............................] - ETA: 0s - loss: 8.8430e-05 - mean_absolute_error: 0.0073 17/126 [===>..........................] - ETA: 0s - loss: 1.5711e-04 - mean_absolute_error: 0.0095 34/126 [=======>......................] - ETA: 0s - loss: 1.7573e-04 - mean_absolute_error: 0.0099 50/126 [==========>...................] - ETA: 0s - loss: 1.6120e-04 - mean_absolute_error: 0.0096 66/126 [==============>...............] - ETA: 0s - loss: 1.6349e-04 - mean_absolute_error: 0.0094 83/126 [==================>...........] - ETA: 0s - loss: 1.5714e-04 - mean_absolute_error: 0.0093 99/126 [======================>.......] - ETA: 0s - loss: 1.5592e-04 - mean_absolute_error: 0.0093115/126 [==========================>...] - ETA: 0s - loss: 1.5259e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 4ms/step - loss: 1.5110e-04 - mean_absolute_error: 0.0093 - val_loss: 5.0111e-05 - val_mean_absolute_error: 0.0055
Epoch 17/100
  1/126 [..............................] - ETA: 0s - loss: 1.5124e-04 - mean_absolute_error: 0.0093 18/126 [===>..........................] - ETA: 0s - loss: 1.1792e-04 - mean_absolute_error: 0.0085 35/126 [=======>......................] - ETA: 0s - loss: 1.3081e-04 - mean_absolute_error: 0.0088 52/126 [===========>..................] - ETA: 0s - loss: 1.2930e-04 - mean_absolute_error: 0.0087 69/126 [===============>..............] - ETA: 0s - loss: 1.3801e-04 - mean_absolute_error: 0.0087 86/126 [===================>..........] - ETA: 0s - loss: 1.3659e-04 - mean_absolute_error: 0.0087102/126 [=======================>......] - ETA: 0s - loss: 1.4170e-04 - mean_absolute_error: 0.0088119/126 [===========================>..] - ETA: 0s - loss: 1.4039e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.4028e-04 - mean_absolute_error: 0.0088 - val_loss: 5.6667e-05 - val_mean_absolute_error: 0.0060
Epoch 18/100
  1/126 [..............................] - ETA: 0s - loss: 1.5121e-04 - mean_absolute_error: 0.0101 19/126 [===>..........................] - ETA: 0s - loss: 1.3798e-04 - mean_absolute_error: 0.0088 36/126 [=======>......................] - ETA: 0s - loss: 1.3350e-04 - mean_absolute_error: 0.0086 52/126 [===========>..................] - ETA: 0s - loss: 1.3652e-04 - mean_absolute_error: 0.0088 69/126 [===============>..............] - ETA: 0s - loss: 1.3530e-04 - mean_absolute_error: 0.0088 86/126 [===================>..........] - ETA: 0s - loss: 1.3822e-04 - mean_absolute_error: 0.0089102/126 [=======================>......] - ETA: 0s - loss: 1.5019e-04 - mean_absolute_error: 0.0091119/126 [===========================>..] - ETA: 0s - loss: 1.4965e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4939e-04 - mean_absolute_error: 0.0091 - val_loss: 9.8234e-05 - val_mean_absolute_error: 0.0081
Epoch 19/100
  1/126 [..............................] - ETA: 0s - loss: 2.1642e-04 - mean_absolute_error: 0.0123 18/126 [===>..........................] - ETA: 0s - loss: 2.0834e-04 - mean_absolute_error: 0.0106 35/126 [=======>......................] - ETA: 0s - loss: 1.8971e-04 - mean_absolute_error: 0.0100 51/126 [===========>..................] - ETA: 0s - loss: 1.7640e-04 - mean_absolute_error: 0.0098 68/126 [===============>..............] - ETA: 0s - loss: 1.6663e-04 - mean_absolute_error: 0.0095 84/126 [===================>..........] - ETA: 0s - loss: 1.5864e-04 - mean_absolute_error: 0.0094101/126 [=======================>......] - ETA: 0s - loss: 1.5738e-04 - mean_absolute_error: 0.0094117/126 [==========================>...] - ETA: 0s - loss: 1.5481e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5320e-04 - mean_absolute_error: 0.0093 - val_loss: 7.5848e-05 - val_mean_absolute_error: 0.0071
Epoch 20/100
  1/126 [..............................] - ETA: 0s - loss: 1.6027e-04 - mean_absolute_error: 0.0104 16/126 [==>...........................] - ETA: 0s - loss: 1.5582e-04 - mean_absolute_error: 0.0098 33/126 [======>.......................] - ETA: 0s - loss: 1.6009e-04 - mean_absolute_error: 0.0099 49/126 [==========>...................] - ETA: 0s - loss: 1.5220e-04 - mean_absolute_error: 0.0096 61/126 [=============>................] - ETA: 0s - loss: 1.4790e-04 - mean_absolute_error: 0.0094 73/126 [================>.............] - ETA: 0s - loss: 1.4960e-04 - mean_absolute_error: 0.0093 87/126 [===================>..........] - ETA: 0s - loss: 1.4699e-04 - mean_absolute_error: 0.0092104/126 [=======================>......] - ETA: 0s - loss: 1.5066e-04 - mean_absolute_error: 0.0092120/126 [===========================>..] - ETA: 0s - loss: 1.4905e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.4980e-04 - mean_absolute_error: 0.0092 - val_loss: 7.2644e-05 - val_mean_absolute_error: 0.0070
Epoch 21/100
  1/126 [..............................] - ETA: 0s - loss: 1.2585e-04 - mean_absolute_error: 0.0088 17/126 [===>..........................] - ETA: 0s - loss: 1.5281e-04 - mean_absolute_error: 0.0093 34/126 [=======>......................] - ETA: 0s - loss: 1.4144e-04 - mean_absolute_error: 0.0090 50/126 [==========>...................] - ETA: 0s - loss: 1.3866e-04 - mean_absolute_error: 0.0089 67/126 [==============>...............] - ETA: 0s - loss: 1.3967e-04 - mean_absolute_error: 0.0090 84/126 [===================>..........] - ETA: 0s - loss: 1.3989e-04 - mean_absolute_error: 0.0090100/126 [======================>.......] - ETA: 0s - loss: 1.4038e-04 - mean_absolute_error: 0.0090117/126 [==========================>...] - ETA: 0s - loss: 1.4659e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 4ms/step - loss: 1.4660e-04 - mean_absolute_error: 0.0090 - val_loss: 5.0519e-05 - val_mean_absolute_error: 0.0056
Epoch 22/100
  1/126 [..............................] - ETA: 0s - loss: 1.2343e-04 - mean_absolute_error: 0.0089 18/126 [===>..........................] - ETA: 0s - loss: 1.5472e-04 - mean_absolute_error: 0.0095 35/126 [=======>......................] - ETA: 0s - loss: 1.7283e-04 - mean_absolute_error: 0.0094 53/126 [===========>..................] - ETA: 0s - loss: 1.6678e-04 - mean_absolute_error: 0.0095 69/126 [===============>..............] - ETA: 0s - loss: 1.5592e-04 - mean_absolute_error: 0.0092 86/126 [===================>..........] - ETA: 0s - loss: 1.4961e-04 - mean_absolute_error: 0.0091102/126 [=======================>......] - ETA: 0s - loss: 1.4948e-04 - mean_absolute_error: 0.0091118/126 [===========================>..] - ETA: 0s - loss: 1.4807e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.4870e-04 - mean_absolute_error: 0.0091 - val_loss: 8.4927e-05 - val_mean_absolute_error: 0.0076
Epoch 23/100
  1/126 [..............................] - ETA: 0s - loss: 1.0828e-04 - mean_absolute_error: 0.0084 17/126 [===>..........................] - ETA: 0s - loss: 1.1802e-04 - mean_absolute_error: 0.0084 33/126 [======>.......................] - ETA: 0s - loss: 1.1841e-04 - mean_absolute_error: 0.0084 50/126 [==========>...................] - ETA: 0s - loss: 1.2538e-04 - mean_absolute_error: 0.0086 66/126 [==============>...............] - ETA: 0s - loss: 1.4424e-04 - mean_absolute_error: 0.0088 82/126 [==================>...........] - ETA: 0s - loss: 1.4345e-04 - mean_absolute_error: 0.0088 97/126 [======================>.......] - ETA: 0s - loss: 1.4291e-04 - mean_absolute_error: 0.0088114/126 [==========================>...] - ETA: 0s - loss: 1.4093e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 4ms/step - loss: 1.4022e-04 - mean_absolute_error: 0.0088 - val_loss: 4.9567e-05 - val_mean_absolute_error: 0.0055
Epoch 24/100
  1/126 [..............................] - ETA: 0s - loss: 9.2967e-05 - mean_absolute_error: 0.0071 17/126 [===>..........................] - ETA: 0s - loss: 1.5432e-04 - mean_absolute_error: 0.0093 33/126 [======>.......................] - ETA: 0s - loss: 1.3093e-04 - mean_absolute_error: 0.0086 49/126 [==========>...................] - ETA: 0s - loss: 1.3076e-04 - mean_absolute_error: 0.0086 65/126 [==============>...............] - ETA: 0s - loss: 1.3606e-04 - mean_absolute_error: 0.0089 80/126 [==================>...........] - ETA: 0s - loss: 1.4030e-04 - mean_absolute_error: 0.0090 96/126 [=====================>........] - ETA: 0s - loss: 1.4779e-04 - mean_absolute_error: 0.0091113/126 [=========================>....] - ETA: 0s - loss: 1.5230e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.5216e-04 - mean_absolute_error: 0.0092 - val_loss: 5.6575e-05 - val_mean_absolute_error: 0.0060
Epoch 25/100
  1/126 [..............................] - ETA: 0s - loss: 6.1787e-04 - mean_absolute_error: 0.0112 17/126 [===>..........................] - ETA: 0s - loss: 1.6246e-04 - mean_absolute_error: 0.0090 33/126 [======>.......................] - ETA: 0s - loss: 1.3526e-04 - mean_absolute_error: 0.0085 49/126 [==========>...................] - ETA: 0s - loss: 1.4154e-04 - mean_absolute_error: 0.0088 66/126 [==============>...............] - ETA: 0s - loss: 1.4055e-04 - mean_absolute_error: 0.0088 82/126 [==================>...........] - ETA: 0s - loss: 1.4466e-04 - mean_absolute_error: 0.0090 99/126 [======================>.......] - ETA: 0s - loss: 1.4471e-04 - mean_absolute_error: 0.0091115/126 [==========================>...] - ETA: 0s - loss: 1.4624e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 4ms/step - loss: 1.4660e-04 - mean_absolute_error: 0.0090 - val_loss: 4.9988e-05 - val_mean_absolute_error: 0.0055
Epoch 26/100
  1/126 [..............................] - ETA: 0s - loss: 1.0872e-04 - mean_absolute_error: 0.0084 18/126 [===>..........................] - ETA: 0s - loss: 1.2501e-04 - mean_absolute_error: 0.0086 36/126 [=======>......................] - ETA: 0s - loss: 1.4169e-04 - mean_absolute_error: 0.0090 53/126 [===========>..................] - ETA: 0s - loss: 1.4637e-04 - mean_absolute_error: 0.0092 69/126 [===============>..............] - ETA: 0s - loss: 1.4232e-04 - mean_absolute_error: 0.0092 86/126 [===================>..........] - ETA: 0s - loss: 1.3960e-04 - mean_absolute_error: 0.0090103/126 [=======================>......] - ETA: 0s - loss: 1.4018e-04 - mean_absolute_error: 0.0090120/126 [===========================>..] - ETA: 0s - loss: 1.3895e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.4315e-04 - mean_absolute_error: 0.0090 - val_loss: 3.1135e-04 - val_mean_absolute_error: 0.0163
Epoch 27/100
  1/126 [..............................] - ETA: 0s - loss: 3.2052e-04 - mean_absolute_error: 0.0150 18/126 [===>..........................] - ETA: 0s - loss: 2.0511e-04 - mean_absolute_error: 0.0112 34/126 [=======>......................] - ETA: 0s - loss: 1.8044e-04 - mean_absolute_error: 0.0104 50/126 [==========>...................] - ETA: 0s - loss: 1.7074e-04 - mean_absolute_error: 0.0101 66/126 [==============>...............] - ETA: 0s - loss: 1.6721e-04 - mean_absolute_error: 0.0099 83/126 [==================>...........] - ETA: 0s - loss: 1.6185e-04 - mean_absolute_error: 0.0097100/126 [======================>.......] - ETA: 0s - loss: 1.6456e-04 - mean_absolute_error: 0.0097117/126 [==========================>...] - ETA: 0s - loss: 1.6465e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.6197e-04 - mean_absolute_error: 0.0096 - val_loss: 9.5727e-05 - val_mean_absolute_error: 0.0080
Epoch 28/100
  1/126 [..............................] - ETA: 0s - loss: 8.9719e-05 - mean_absolute_error: 0.0075 17/126 [===>..........................] - ETA: 0s - loss: 1.3552e-04 - mean_absolute_error: 0.0088 34/126 [=======>......................] - ETA: 0s - loss: 1.5088e-04 - mean_absolute_error: 0.0090 51/126 [===========>..................] - ETA: 0s - loss: 1.5670e-04 - mean_absolute_error: 0.0093 67/126 [==============>...............] - ETA: 0s - loss: 1.5583e-04 - mean_absolute_error: 0.0094 84/126 [===================>..........] - ETA: 0s - loss: 1.5000e-04 - mean_absolute_error: 0.0092101/126 [=======================>......] - ETA: 0s - loss: 1.5533e-04 - mean_absolute_error: 0.0092117/126 [==========================>...] - ETA: 0s - loss: 1.5232e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.4990e-04 - mean_absolute_error: 0.0091 - val_loss: 5.4160e-05 - val_mean_absolute_error: 0.0059
Epoch 29/100
  1/126 [..............................] - ETA: 0s - loss: 1.7295e-04 - mean_absolute_error: 0.0109 16/126 [==>...........................] - ETA: 0s - loss: 1.2024e-04 - mean_absolute_error: 0.0085 31/126 [======>.......................] - ETA: 0s - loss: 1.4729e-04 - mean_absolute_error: 0.0089 47/126 [==========>...................] - ETA: 0s - loss: 1.4466e-04 - mean_absolute_error: 0.0090 62/126 [=============>................] - ETA: 0s - loss: 1.4581e-04 - mean_absolute_error: 0.0090 77/126 [=================>............] - ETA: 0s - loss: 1.4351e-04 - mean_absolute_error: 0.0091 93/126 [=====================>........] - ETA: 0s - loss: 1.4561e-04 - mean_absolute_error: 0.0090109/126 [========================>.....] - ETA: 0s - loss: 1.4679e-04 - mean_absolute_error: 0.0091125/126 [============================>.] - ETA: 0s - loss: 1.4823e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.4812e-04 - mean_absolute_error: 0.0092 - val_loss: 4.8414e-05 - val_mean_absolute_error: 0.0053
Epoch 30/100
  1/126 [..............................] - ETA: 0s - loss: 9.2952e-05 - mean_absolute_error: 0.0078 17/126 [===>..........................] - ETA: 0s - loss: 2.3053e-04 - mean_absolute_error: 0.0117 33/126 [======>.......................] - ETA: 0s - loss: 2.5341e-04 - mean_absolute_error: 0.0119 49/126 [==========>...................] - ETA: 0s - loss: 2.1873e-04 - mean_absolute_error: 0.0110 65/126 [==============>...............] - ETA: 0s - loss: 1.9364e-04 - mean_absolute_error: 0.0104 82/126 [==================>...........] - ETA: 0s - loss: 1.8477e-04 - mean_absolute_error: 0.0102 99/126 [======================>.......] - ETA: 0s - loss: 1.7655e-04 - mean_absolute_error: 0.0100116/126 [==========================>...] - ETA: 0s - loss: 1.6801e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 4ms/step - loss: 1.6431e-04 - mean_absolute_error: 0.0096 - val_loss: 6.7589e-05 - val_mean_absolute_error: 0.0067
Epoch 31/100
  1/126 [..............................] - ETA: 0s - loss: 1.0271e-04 - mean_absolute_error: 0.0085 17/126 [===>..........................] - ETA: 0s - loss: 1.3549e-04 - mean_absolute_error: 0.0091 34/126 [=======>......................] - ETA: 0s - loss: 1.5626e-04 - mean_absolute_error: 0.0093 51/126 [===========>..................] - ETA: 0s - loss: 1.6046e-04 - mean_absolute_error: 0.0095 67/126 [==============>...............] - ETA: 0s - loss: 1.6099e-04 - mean_absolute_error: 0.0096 83/126 [==================>...........] - ETA: 0s - loss: 1.6130e-04 - mean_absolute_error: 0.0094 99/126 [======================>.......] - ETA: 0s - loss: 1.6789e-04 - mean_absolute_error: 0.0098115/126 [==========================>...] - ETA: 0s - loss: 1.6679e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 4ms/step - loss: 1.6499e-04 - mean_absolute_error: 0.0097 - val_loss: 1.2257e-04 - val_mean_absolute_error: 0.0093
Epoch 32/100
  1/126 [..............................] - ETA: 0s - loss: 1.8351e-04 - mean_absolute_error: 0.0104 17/126 [===>..........................] - ETA: 0s - loss: 1.3607e-04 - mean_absolute_error: 0.0089 33/126 [======>.......................] - ETA: 0s - loss: 1.4290e-04 - mean_absolute_error: 0.0088 49/126 [==========>...................] - ETA: 0s - loss: 1.3472e-04 - mean_absolute_error: 0.0087 66/126 [==============>...............] - ETA: 0s - loss: 1.4073e-04 - mean_absolute_error: 0.0089 82/126 [==================>...........] - ETA: 0s - loss: 1.5541e-04 - mean_absolute_error: 0.0093 98/126 [======================>.......] - ETA: 0s - loss: 1.5823e-04 - mean_absolute_error: 0.0094115/126 [==========================>...] - ETA: 0s - loss: 1.5307e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.5270e-04 - mean_absolute_error: 0.0092 - val_loss: 4.9538e-05 - val_mean_absolute_error: 0.0055
Epoch 33/100
  1/126 [..............................] - ETA: 0s - loss: 1.5248e-04 - mean_absolute_error: 0.0095 17/126 [===>..........................] - ETA: 0s - loss: 1.4870e-04 - mean_absolute_error: 0.0090 33/126 [======>.......................] - ETA: 0s - loss: 1.5856e-04 - mean_absolute_error: 0.0091 49/126 [==========>...................] - ETA: 0s - loss: 1.6127e-04 - mean_absolute_error: 0.0095 65/126 [==============>...............] - ETA: 0s - loss: 1.6690e-04 - mean_absolute_error: 0.0096 81/126 [==================>...........] - ETA: 0s - loss: 1.6516e-04 - mean_absolute_error: 0.0096 97/126 [======================>.......] - ETA: 0s - loss: 1.6414e-04 - mean_absolute_error: 0.0096112/126 [=========================>....] - ETA: 0s - loss: 1.6425e-04 - mean_absolute_error: 0.0097122/126 [============================>.] - ETA: 0s - loss: 1.6223e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 1s 4ms/step - loss: 1.6086e-04 - mean_absolute_error: 0.0096 - val_loss: 4.8432e-05 - val_mean_absolute_error: 0.0054
Epoch 34/100
  1/126 [..............................] - ETA: 0s - loss: 1.0785e-04 - mean_absolute_error: 0.0083 12/126 [=>............................] - ETA: 0s - loss: 1.1195e-04 - mean_absolute_error: 0.0084 22/126 [====>.........................] - ETA: 0s - loss: 1.2829e-04 - mean_absolute_error: 0.0090 32/126 [======>.......................] - ETA: 0s - loss: 1.2772e-04 - mean_absolute_error: 0.0089 42/126 [=========>....................] - ETA: 0s - loss: 1.4893e-04 - mean_absolute_error: 0.0094 52/126 [===========>..................] - ETA: 0s - loss: 1.5816e-04 - mean_absolute_error: 0.0098 62/126 [=============>................] - ETA: 0s - loss: 1.6109e-04 - mean_absolute_error: 0.0099 72/126 [================>.............] - ETA: 0s - loss: 1.6351e-04 - mean_absolute_error: 0.0099 83/126 [==================>...........] - ETA: 0s - loss: 1.6937e-04 - mean_absolute_error: 0.0100 94/126 [=====================>........] - ETA: 0s - loss: 1.8088e-04 - mean_absolute_error: 0.0102104/126 [=======================>......] - ETA: 0s - loss: 1.7732e-04 - mean_absolute_error: 0.0101115/126 [==========================>...] - ETA: 0s - loss: 1.7503e-04 - mean_absolute_error: 0.0101125/126 [============================>.] - ETA: 0s - loss: 1.7187e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 1s 6ms/step - loss: 1.7164e-04 - mean_absolute_error: 0.0100 - val_loss: 4.9313e-05 - val_mean_absolute_error: 0.0055
Epoch 35/100
  1/126 [..............................] - ETA: 0s - loss: 6.2537e-05 - mean_absolute_error: 0.0066 11/126 [=>............................] - ETA: 0s - loss: 1.3630e-04 - mean_absolute_error: 0.0090 21/126 [====>.........................] - ETA: 0s - loss: 1.6177e-04 - mean_absolute_error: 0.0091 31/126 [======>.......................] - ETA: 0s - loss: 1.5019e-04 - mean_absolute_error: 0.0089 44/126 [=========>....................] - ETA: 0s - loss: 1.4649e-04 - mean_absolute_error: 0.0089 61/126 [=============>................] - ETA: 0s - loss: 1.6447e-04 - mean_absolute_error: 0.0094 77/126 [=================>............] - ETA: 0s - loss: 1.6521e-04 - mean_absolute_error: 0.0095 93/126 [=====================>........] - ETA: 0s - loss: 1.5827e-04 - mean_absolute_error: 0.0093108/126 [========================>.....] - ETA: 0s - loss: 1.5026e-04 - mean_absolute_error: 0.0091124/126 [============================>.] - ETA: 0s - loss: 1.4939e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 1s 4ms/step - loss: 1.4968e-04 - mean_absolute_error: 0.0091 - val_loss: 4.7976e-05 - val_mean_absolute_error: 0.0053
Epoch 36/100
  1/126 [..............................] - ETA: 0s - loss: 9.6191e-05 - mean_absolute_error: 0.0078 17/126 [===>..........................] - ETA: 0s - loss: 1.3594e-04 - mean_absolute_error: 0.0088 32/126 [======>.......................] - ETA: 0s - loss: 1.3095e-04 - mean_absolute_error: 0.0088 51/126 [===========>..................] - ETA: 0s - loss: 1.3323e-04 - mean_absolute_error: 0.0088 68/126 [===============>..............] - ETA: 0s - loss: 1.4188e-04 - mean_absolute_error: 0.0092 85/126 [===================>..........] - ETA: 0s - loss: 1.4406e-04 - mean_absolute_error: 0.0092102/126 [=======================>......] - ETA: 0s - loss: 1.4078e-04 - mean_absolute_error: 0.0092119/126 [===========================>..] - ETA: 0s - loss: 1.4532e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 3ms/step - loss: 1.5052e-04 - mean_absolute_error: 0.0092 - val_loss: 7.4426e-05 - val_mean_absolute_error: 0.0071
Epoch 37/100
  1/126 [..............................] - ETA: 0s - loss: 1.0711e-04 - mean_absolute_error: 0.0087 17/126 [===>..........................] - ETA: 0s - loss: 2.1568e-04 - mean_absolute_error: 0.0109 34/126 [=======>......................] - ETA: 0s - loss: 2.1734e-04 - mean_absolute_error: 0.0113 50/126 [==========>...................] - ETA: 0s - loss: 1.9830e-04 - mean_absolute_error: 0.0108 66/126 [==============>...............] - ETA: 0s - loss: 1.8829e-04 - mean_absolute_error: 0.0105 82/126 [==================>...........] - ETA: 0s - loss: 1.9356e-04 - mean_absolute_error: 0.0105 98/126 [======================>.......] - ETA: 0s - loss: 1.8833e-04 - mean_absolute_error: 0.0104114/126 [==========================>...] - ETA: 0s - loss: 1.8009e-04 - mean_absolute_error: 0.0102126/126 [==============================] - 0s 4ms/step - loss: 1.7714e-04 - mean_absolute_error: 0.0101 - val_loss: 5.2694e-05 - val_mean_absolute_error: 0.0058
Epoch 38/100
  1/126 [..............................] - ETA: 0s - loss: 2.5266e-04 - mean_absolute_error: 0.0110 17/126 [===>..........................] - ETA: 0s - loss: 1.1936e-04 - mean_absolute_error: 0.0083 33/126 [======>.......................] - ETA: 0s - loss: 1.3786e-04 - mean_absolute_error: 0.0086 50/126 [==========>...................] - ETA: 0s - loss: 1.5767e-04 - mean_absolute_error: 0.0092 66/126 [==============>...............] - ETA: 0s - loss: 1.5706e-04 - mean_absolute_error: 0.0093 82/126 [==================>...........] - ETA: 0s - loss: 1.5511e-04 - mean_absolute_error: 0.0092 98/126 [======================>.......] - ETA: 0s - loss: 1.5286e-04 - mean_absolute_error: 0.0092113/126 [=========================>....] - ETA: 0s - loss: 1.4892e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 4ms/step - loss: 1.5292e-04 - mean_absolute_error: 0.0092 - val_loss: 6.1845e-05 - val_mean_absolute_error: 0.0063
Epoch 39/100
  1/126 [..............................] - ETA: 0s - loss: 1.0885e-04 - mean_absolute_error: 0.0078 17/126 [===>..........................] - ETA: 0s - loss: 2.0158e-04 - mean_absolute_error: 0.0111 33/126 [======>.......................] - ETA: 0s - loss: 2.2074e-04 - mean_absolute_error: 0.0113 49/126 [==========>...................] - ETA: 0s - loss: 1.9959e-04 - mean_absolute_error: 0.0106 65/126 [==============>...............] - ETA: 0s - loss: 1.8070e-04 - mean_absolute_error: 0.0101 82/126 [==================>...........] - ETA: 0s - loss: 1.7219e-04 - mean_absolute_error: 0.0099 98/126 [======================>.......] - ETA: 0s - loss: 1.6936e-04 - mean_absolute_error: 0.0099114/126 [==========================>...] - ETA: 0s - loss: 1.6489e-04 - mean_absolute_error: 0.0098126/126 [==============================] - 0s 4ms/step - loss: 1.6309e-04 - mean_absolute_error: 0.0097 - val_loss: 4.9211e-05 - val_mean_absolute_error: 0.0055
Epoch 40/100
  1/126 [..............................] - ETA: 0s - loss: 9.3583e-05 - mean_absolute_error: 0.0068 17/126 [===>..........................] - ETA: 0s - loss: 1.2991e-04 - mean_absolute_error: 0.0088 34/126 [=======>......................] - ETA: 0s - loss: 1.4895e-04 - mean_absolute_error: 0.0095 50/126 [==========>...................] - ETA: 0s - loss: 1.5972e-04 - mean_absolute_error: 0.0099 66/126 [==============>...............] - ETA: 0s - loss: 1.5668e-04 - mean_absolute_error: 0.0097 83/126 [==================>...........] - ETA: 0s - loss: 1.4953e-04 - mean_absolute_error: 0.0094 99/126 [======================>.......] - ETA: 0s - loss: 1.5196e-04 - mean_absolute_error: 0.0094116/126 [==========================>...] - ETA: 0s - loss: 1.5257e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 4ms/step - loss: 1.4994e-04 - mean_absolute_error: 0.0092 - val_loss: 5.4778e-05 - val_mean_absolute_error: 0.0059
Epoch 41/100
  1/126 [..............................] - ETA: 0s - loss: 1.1474e-04 - mean_absolute_error: 0.0089 18/126 [===>..........................] - ETA: 0s - loss: 1.2780e-04 - mean_absolute_error: 0.0086 33/126 [======>.......................] - ETA: 0s - loss: 1.4117e-04 - mean_absolute_error: 0.0087 49/126 [==========>...................] - ETA: 0s - loss: 1.4117e-04 - mean_absolute_error: 0.0088 64/126 [==============>...............] - ETA: 0s - loss: 1.4892e-04 - mean_absolute_error: 0.0091 81/126 [==================>...........] - ETA: 0s - loss: 1.6302e-04 - mean_absolute_error: 0.0096 97/126 [======================>.......] - ETA: 0s - loss: 1.5925e-04 - mean_absolute_error: 0.0095114/126 [==========================>...] - ETA: 0s - loss: 1.5514e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 4ms/step - loss: 1.5703e-04 - mean_absolute_error: 0.0094 - val_loss: 1.5222e-04 - val_mean_absolute_error: 0.0106
Epoch 42/100
  1/126 [..............................] - ETA: 0s - loss: 3.8456e-04 - mean_absolute_error: 0.0161 17/126 [===>..........................] - ETA: 0s - loss: 1.9992e-04 - mean_absolute_error: 0.0112 33/126 [======>.......................] - ETA: 0s - loss: 1.6839e-04 - mean_absolute_error: 0.0101 49/126 [==========>...................] - ETA: 0s - loss: 1.6861e-04 - mean_absolute_error: 0.0100 65/126 [==============>...............] - ETA: 0s - loss: 1.6315e-04 - mean_absolute_error: 0.0098 82/126 [==================>...........] - ETA: 0s - loss: 1.6658e-04 - mean_absolute_error: 0.0098 99/126 [======================>.......] - ETA: 0s - loss: 1.6408e-04 - mean_absolute_error: 0.0098115/126 [==========================>...] - ETA: 0s - loss: 1.6372e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 4ms/step - loss: 1.6271e-04 - mean_absolute_error: 0.0096 - val_loss: 4.9324e-05 - val_mean_absolute_error: 0.0055
Epoch 43/100
  1/126 [..............................] - ETA: 0s - loss: 6.1085e-05 - mean_absolute_error: 0.0060 18/126 [===>..........................] - ETA: 0s - loss: 1.5619e-04 - mean_absolute_error: 0.0097 35/126 [=======>......................] - ETA: 0s - loss: 1.7738e-04 - mean_absolute_error: 0.0102 51/126 [===========>..................] - ETA: 0s - loss: 1.8001e-04 - mean_absolute_error: 0.0103 68/126 [===============>..............] - ETA: 0s - loss: 1.7970e-04 - mean_absolute_error: 0.0100 84/126 [===================>..........] - ETA: 0s - loss: 1.7413e-04 - mean_absolute_error: 0.0097100/126 [======================>.......] - ETA: 0s - loss: 1.8557e-04 - mean_absolute_error: 0.0102117/126 [==========================>...] - ETA: 0s - loss: 1.8101e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 3ms/step - loss: 1.7948e-04 - mean_absolute_error: 0.0101 - val_loss: 2.8176e-04 - val_mean_absolute_error: 0.0154
Epoch 44/100
  1/126 [..............................] - ETA: 0s - loss: 4.3270e-04 - mean_absolute_error: 0.0185 17/126 [===>..........................] - ETA: 0s - loss: 2.1381e-04 - mean_absolute_error: 0.0114 34/126 [=======>......................] - ETA: 0s - loss: 1.7038e-04 - mean_absolute_error: 0.0101 51/126 [===========>..................] - ETA: 0s - loss: 1.5776e-04 - mean_absolute_error: 0.0097 68/126 [===============>..............] - ETA: 0s - loss: 1.5335e-04 - mean_absolute_error: 0.0096 85/126 [===================>..........] - ETA: 0s - loss: 1.5399e-04 - mean_absolute_error: 0.0096101/126 [=======================>......] - ETA: 0s - loss: 1.6678e-04 - mean_absolute_error: 0.0099118/126 [===========================>..] - ETA: 0s - loss: 1.7776e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 4ms/step - loss: 1.8260e-04 - mean_absolute_error: 0.0103 - val_loss: 2.5337e-04 - val_mean_absolute_error: 0.0144
Epoch 45/100
  1/126 [..............................] - ETA: 0s - loss: 3.1890e-04 - mean_absolute_error: 0.0161 17/126 [===>..........................] - ETA: 0s - loss: 2.5005e-04 - mean_absolute_error: 0.0126 33/126 [======>.......................] - ETA: 0s - loss: 2.2853e-04 - mean_absolute_error: 0.0119 49/126 [==========>...................] - ETA: 0s - loss: 2.0038e-04 - mean_absolute_error: 0.0108 66/126 [==============>...............] - ETA: 0s - loss: 1.8826e-04 - mean_absolute_error: 0.0103 83/126 [==================>...........] - ETA: 0s - loss: 1.8637e-04 - mean_absolute_error: 0.0104 99/126 [======================>.......] - ETA: 0s - loss: 1.8476e-04 - mean_absolute_error: 0.0103116/126 [==========================>...] - ETA: 0s - loss: 1.7423e-04 - mean_absolute_error: 0.0100126/126 [==============================] - 0s 3ms/step - loss: 1.7079e-04 - mean_absolute_error: 0.0099 - val_loss: 6.9558e-05 - val_mean_absolute_error: 0.0068
Epoch 46/100
  1/126 [..............................] - ETA: 0s - loss: 6.7006e-05 - mean_absolute_error: 0.0059 17/126 [===>..........................] - ETA: 0s - loss: 1.6828e-04 - mean_absolute_error: 0.0096 33/126 [======>.......................] - ETA: 0s - loss: 1.4754e-04 - mean_absolute_error: 0.0092 49/126 [==========>...................] - ETA: 0s - loss: 1.7042e-04 - mean_absolute_error: 0.0097 66/126 [==============>...............] - ETA: 0s - loss: 1.8405e-04 - mean_absolute_error: 0.0101 82/126 [==================>...........] - ETA: 0s - loss: 1.9468e-04 - mean_absolute_error: 0.0106 98/126 [======================>.......] - ETA: 0s - loss: 1.8537e-04 - mean_absolute_error: 0.0103114/126 [==========================>...] - ETA: 0s - loss: 1.7881e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 4ms/step - loss: 1.7507e-04 - mean_absolute_error: 0.0100 - val_loss: 1.2044e-04 - val_mean_absolute_error: 0.0093
Epoch 47/100
  1/126 [..............................] - ETA: 0s - loss: 3.3775e-04 - mean_absolute_error: 0.0152 17/126 [===>..........................] - ETA: 0s - loss: 1.9511e-04 - mean_absolute_error: 0.0103 34/126 [=======>......................] - ETA: 0s - loss: 1.8763e-04 - mean_absolute_error: 0.0099 51/126 [===========>..................] - ETA: 0s - loss: 1.7053e-04 - mean_absolute_error: 0.0096 68/126 [===============>..............] - ETA: 0s - loss: 1.8438e-04 - mean_absolute_error: 0.0102 86/126 [===================>..........] - ETA: 0s - loss: 2.0160e-04 - mean_absolute_error: 0.0109104/126 [=======================>......] - ETA: 0s - loss: 1.9788e-04 - mean_absolute_error: 0.0108121/126 [===========================>..] - ETA: 0s - loss: 1.8962e-04 - mean_absolute_error: 0.0106126/126 [==============================] - 0s 3ms/step - loss: 1.8708e-04 - mean_absolute_error: 0.0105 - val_loss: 4.9752e-05 - val_mean_absolute_error: 0.0056
Epoch 48/100
  1/126 [..............................] - ETA: 0s - loss: 2.2419e-04 - mean_absolute_error: 0.0108 18/126 [===>..........................] - ETA: 0s - loss: 1.8996e-04 - mean_absolute_error: 0.0105 35/126 [=======>......................] - ETA: 0s - loss: 1.6570e-04 - mean_absolute_error: 0.0098 52/126 [===========>..................] - ETA: 0s - loss: 1.6387e-04 - mean_absolute_error: 0.0098 68/126 [===============>..............] - ETA: 0s - loss: 1.6639e-04 - mean_absolute_error: 0.0099 84/126 [===================>..........] - ETA: 0s - loss: 1.7013e-04 - mean_absolute_error: 0.0101100/126 [======================>.......] - ETA: 0s - loss: 1.7330e-04 - mean_absolute_error: 0.0101116/126 [==========================>...] - ETA: 0s - loss: 1.7366e-04 - mean_absolute_error: 0.0101126/126 [==============================] - 0s 3ms/step - loss: 1.6877e-04 - mean_absolute_error: 0.0100 - val_loss: 7.0081e-05 - val_mean_absolute_error: 0.0069
Epoch 49/100
  1/126 [..............................] - ETA: 0s - loss: 9.1385e-05 - mean_absolute_error: 0.0075 17/126 [===>..........................] - ETA: 0s - loss: 1.1403e-04 - mean_absolute_error: 0.0080 34/126 [=======>......................] - ETA: 0s - loss: 1.1927e-04 - mean_absolute_error: 0.0083 50/126 [==========>...................] - ETA: 0s - loss: 1.3928e-04 - mean_absolute_error: 0.0088 66/126 [==============>...............] - ETA: 0s - loss: 1.3644e-04 - mean_absolute_error: 0.0088 82/126 [==================>...........] - ETA: 0s - loss: 1.4280e-04 - mean_absolute_error: 0.0088 99/126 [======================>.......] - ETA: 0s - loss: 1.4631e-04 - mean_absolute_error: 0.0090115/126 [==========================>...] - ETA: 0s - loss: 1.4502e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 4ms/step - loss: 1.4377e-04 - mean_absolute_error: 0.0090 - val_loss: 5.4727e-05 - val_mean_absolute_error: 0.0059
Epoch 50/100
  1/126 [..............................] - ETA: 0s - loss: 1.1020e-04 - mean_absolute_error: 0.0086 17/126 [===>..........................] - ETA: 0s - loss: 1.3937e-04 - mean_absolute_error: 0.0091 33/126 [======>.......................] - ETA: 0s - loss: 1.4770e-04 - mean_absolute_error: 0.0093 49/126 [==========>...................] - ETA: 0s - loss: 1.5163e-04 - mean_absolute_error: 0.0095 65/126 [==============>...............] - ETA: 0s - loss: 1.4517e-04 - mean_absolute_error: 0.0092 81/126 [==================>...........] - ETA: 0s - loss: 1.5444e-04 - mean_absolute_error: 0.0096 98/126 [======================>.......] - ETA: 0s - loss: 1.4988e-04 - mean_absolute_error: 0.0094115/126 [==========================>...] - ETA: 0s - loss: 1.6284e-04 - mean_absolute_error: 0.0096126/126 [==============================] - 0s 4ms/step - loss: 1.6969e-04 - mean_absolute_error: 0.0099 - val_loss: 1.3939e-04 - val_mean_absolute_error: 0.0102
Epoch 51/100
  1/126 [..............................] - ETA: 0s - loss: 3.1284e-04 - mean_absolute_error: 0.0143  8/126 [>.............................] - ETA: 0s - loss: 1.8253e-04 - mean_absolute_error: 0.0106 15/126 [==>...........................] - ETA: 0s - loss: 1.5150e-04 - mean_absolute_error: 0.0096 22/126 [====>.........................] - ETA: 0s - loss: 1.4400e-04 - mean_absolute_error: 0.0094 29/126 [=====>........................] - ETA: 0s - loss: 1.5188e-04 - mean_absolute_error: 0.0096 36/126 [=======>......................] - ETA: 0s - loss: 1.5071e-04 - mean_absolute_error: 0.0095 43/126 [=========>....................] - ETA: 0s - loss: 1.4535e-04 - mean_absolute_error: 0.0093 50/126 [==========>...................] - ETA: 0s - loss: 1.5115e-04 - mean_absolute_error: 0.0092 57/126 [============>.................] - ETA: 0s - loss: 1.5084e-04 - mean_absolute_error: 0.0092 64/126 [==============>...............] - ETA: 0s - loss: 1.5828e-04 - mean_absolute_error: 0.0093 71/126 [===============>..............] - ETA: 0s - loss: 1.5562e-04 - mean_absolute_error: 0.0093 78/126 [=================>............] - ETA: 0s - loss: 1.5382e-04 - mean_absolute_error: 0.0093 85/126 [===================>..........] - ETA: 0s - loss: 1.5019e-04 - mean_absolute_error: 0.0092 92/126 [====================>.........] - ETA: 0s - loss: 1.4703e-04 - mean_absolute_error: 0.0091 99/126 [======================>.......] - ETA: 0s - loss: 1.4627e-04 - mean_absolute_error: 0.0091105/126 [========================>.....] - ETA: 0s - loss: 1.4595e-04 - mean_absolute_error: 0.0091111/126 [=========================>....] - ETA: 0s - loss: 1.4553e-04 - mean_absolute_error: 0.0091117/126 [==========================>...] - ETA: 0s - loss: 1.4821e-04 - mean_absolute_error: 0.0092123/126 [============================>.] - ETA: 0s - loss: 1.5490e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 1s 9ms/step - loss: 1.5408e-04 - mean_absolute_error: 0.0094 - val_loss: 5.0392e-05 - val_mean_absolute_error: 0.0056
Epoch 52/100
  1/126 [..............................] - ETA: 0s - loss: 6.0460e-05 - mean_absolute_error: 0.0062 16/126 [==>...........................] - ETA: 0s - loss: 1.3375e-04 - mean_absolute_error: 0.0090 32/126 [======>.......................] - ETA: 0s - loss: 1.3335e-04 - mean_absolute_error: 0.0089 48/126 [==========>...................] - ETA: 0s - loss: 1.3300e-04 - mean_absolute_error: 0.0088 64/126 [==============>...............] - ETA: 0s - loss: 1.4588e-04 - mean_absolute_error: 0.0089 80/126 [==================>...........] - ETA: 0s - loss: 1.5211e-04 - mean_absolute_error: 0.0092 96/126 [=====================>........] - ETA: 0s - loss: 1.5971e-04 - mean_absolute_error: 0.0095112/126 [=========================>....] - ETA: 0s - loss: 1.5398e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 0s 4ms/step - loss: 1.5120e-04 - mean_absolute_error: 0.0093 - val_loss: 7.5401e-05 - val_mean_absolute_error: 0.0071
Epoch 53/100
  1/126 [..............................] - ETA: 0s - loss: 1.5099e-04 - mean_absolute_error: 0.0101 17/126 [===>..........................] - ETA: 0s - loss: 1.2202e-04 - mean_absolute_error: 0.0086 34/126 [=======>......................] - ETA: 0s - loss: 1.4277e-04 - mean_absolute_error: 0.0092 50/126 [==========>...................] - ETA: 0s - loss: 1.5531e-04 - mean_absolute_error: 0.0095 66/126 [==============>...............] - ETA: 0s - loss: 1.6696e-04 - mean_absolute_error: 0.0100 82/126 [==================>...........] - ETA: 0s - loss: 1.7409e-04 - mean_absolute_error: 0.0102 99/126 [======================>.......] - ETA: 0s - loss: 1.8120e-04 - mean_absolute_error: 0.0103116/126 [==========================>...] - ETA: 0s - loss: 1.8267e-04 - mean_absolute_error: 0.0104126/126 [==============================] - 0s 4ms/step - loss: 1.8185e-04 - mean_absolute_error: 0.0103 - val_loss: 1.4504e-04 - val_mean_absolute_error: 0.0103
Epoch 54/100
  1/126 [..............................] - ETA: 0s - loss: 2.4630e-04 - mean_absolute_error: 0.0138 17/126 [===>..........................] - ETA: 0s - loss: 1.9280e-04 - mean_absolute_error: 0.0111 33/126 [======>.......................] - ETA: 0s - loss: 1.9211e-04 - mean_absolute_error: 0.0107 49/126 [==========>...................] - ETA: 0s - loss: 1.8839e-04 - mean_absolute_error: 0.0106 66/126 [==============>...............] - ETA: 0s - loss: 1.7903e-04 - mean_absolute_error: 0.0103 82/126 [==================>...........] - ETA: 0s - loss: 1.7936e-04 - mean_absolute_error: 0.0101 98/126 [======================>.......] - ETA: 0s - loss: 1.6886e-04 - mean_absolute_error: 0.0098114/126 [==========================>...] - ETA: 0s - loss: 1.6419e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 4ms/step - loss: 1.6622e-04 - mean_absolute_error: 0.0098 - val_loss: 4.7307e-05 - val_mean_absolute_error: 0.0054
Epoch 55/100
  1/126 [..............................] - ETA: 0s - loss: 8.7043e-05 - mean_absolute_error: 0.0075 16/126 [==>...........................] - ETA: 0s - loss: 1.2894e-04 - mean_absolute_error: 0.0087 32/126 [======>.......................] - ETA: 0s - loss: 1.2155e-04 - mean_absolute_error: 0.0085 49/126 [==========>...................] - ETA: 0s - loss: 1.3205e-04 - mean_absolute_error: 0.0088 65/126 [==============>...............] - ETA: 0s - loss: 1.2813e-04 - mean_absolute_error: 0.0087 81/126 [==================>...........] - ETA: 0s - loss: 1.3114e-04 - mean_absolute_error: 0.0086 97/126 [======================>.......] - ETA: 0s - loss: 1.2797e-04 - mean_absolute_error: 0.0085113/126 [=========================>....] - ETA: 0s - loss: 1.4065e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 4ms/step - loss: 1.4392e-04 - mean_absolute_error: 0.0089 - val_loss: 4.7456e-05 - val_mean_absolute_error: 0.0054
Epoch 56/100
  1/126 [..............................] - ETA: 0s - loss: 7.8111e-05 - mean_absolute_error: 0.0074 18/126 [===>..........................] - ETA: 0s - loss: 1.4483e-04 - mean_absolute_error: 0.0090 34/126 [=======>......................] - ETA: 0s - loss: 1.3713e-04 - mean_absolute_error: 0.0090 51/126 [===========>..................] - ETA: 0s - loss: 1.4970e-04 - mean_absolute_error: 0.0094 67/126 [==============>...............] - ETA: 0s - loss: 1.7170e-04 - mean_absolute_error: 0.0099 83/126 [==================>...........] - ETA: 0s - loss: 1.7224e-04 - mean_absolute_error: 0.0100100/126 [======================>.......] - ETA: 0s - loss: 1.6862e-04 - mean_absolute_error: 0.0099117/126 [==========================>...] - ETA: 0s - loss: 1.6280e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.6565e-04 - mean_absolute_error: 0.0098 - val_loss: 4.5593e-05 - val_mean_absolute_error: 0.0052
Epoch 57/100
  1/126 [..............................] - ETA: 0s - loss: 1.3407e-04 - mean_absolute_error: 0.0091 18/126 [===>..........................] - ETA: 0s - loss: 1.3147e-04 - mean_absolute_error: 0.0087 34/126 [=======>......................] - ETA: 0s - loss: 1.3403e-04 - mean_absolute_error: 0.0089 50/126 [==========>...................] - ETA: 0s - loss: 1.3492e-04 - mean_absolute_error: 0.0089 66/126 [==============>...............] - ETA: 0s - loss: 1.3473e-04 - mean_absolute_error: 0.0090 83/126 [==================>...........] - ETA: 0s - loss: 1.3030e-04 - mean_absolute_error: 0.0088 99/126 [======================>.......] - ETA: 0s - loss: 1.4231e-04 - mean_absolute_error: 0.0090114/126 [==========================>...] - ETA: 0s - loss: 1.4830e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.4998e-04 - mean_absolute_error: 0.0093 - val_loss: 1.6187e-04 - val_mean_absolute_error: 0.0112
Epoch 58/100
  1/126 [..............................] - ETA: 0s - loss: 2.6149e-04 - mean_absolute_error: 0.0116 17/126 [===>..........................] - ETA: 0s - loss: 1.5603e-04 - mean_absolute_error: 0.0095 33/126 [======>.......................] - ETA: 0s - loss: 1.7764e-04 - mean_absolute_error: 0.0099 49/126 [==========>...................] - ETA: 0s - loss: 1.7780e-04 - mean_absolute_error: 0.0101 66/126 [==============>...............] - ETA: 0s - loss: 1.7000e-04 - mean_absolute_error: 0.0099 82/126 [==================>...........] - ETA: 0s - loss: 1.7161e-04 - mean_absolute_error: 0.0100 99/126 [======================>.......] - ETA: 0s - loss: 1.7037e-04 - mean_absolute_error: 0.0100116/126 [==========================>...] - ETA: 0s - loss: 1.7017e-04 - mean_absolute_error: 0.0099126/126 [==============================] - 0s 4ms/step - loss: 1.6756e-04 - mean_absolute_error: 0.0099 - val_loss: 5.8575e-05 - val_mean_absolute_error: 0.0061
Epoch 59/100
  1/126 [..............................] - ETA: 0s - loss: 1.2617e-04 - mean_absolute_error: 0.0075 17/126 [===>..........................] - ETA: 0s - loss: 1.3174e-04 - mean_absolute_error: 0.0087 33/126 [======>.......................] - ETA: 0s - loss: 1.3575e-04 - mean_absolute_error: 0.0089 49/126 [==========>...................] - ETA: 0s - loss: 1.4415e-04 - mean_absolute_error: 0.0093 66/126 [==============>...............] - ETA: 0s - loss: 1.5702e-04 - mean_absolute_error: 0.0095 84/126 [===================>..........] - ETA: 0s - loss: 1.6231e-04 - mean_absolute_error: 0.0096100/126 [======================>.......] - ETA: 0s - loss: 1.5525e-04 - mean_absolute_error: 0.0094116/126 [==========================>...] - ETA: 0s - loss: 1.5148e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.5134e-04 - mean_absolute_error: 0.0093 - val_loss: 6.6493e-05 - val_mean_absolute_error: 0.0067
Epoch 60/100
  1/126 [..............................] - ETA: 0s - loss: 9.5414e-05 - mean_absolute_error: 0.0071 18/126 [===>..........................] - ETA: 0s - loss: 1.5773e-04 - mean_absolute_error: 0.0099 34/126 [=======>......................] - ETA: 0s - loss: 1.4878e-04 - mean_absolute_error: 0.0094 51/126 [===========>..................] - ETA: 0s - loss: 1.5149e-04 - mean_absolute_error: 0.0095 67/126 [==============>...............] - ETA: 0s - loss: 1.5252e-04 - mean_absolute_error: 0.0096 83/126 [==================>...........] - ETA: 0s - loss: 1.5025e-04 - mean_absolute_error: 0.0095100/126 [======================>.......] - ETA: 0s - loss: 1.4700e-04 - mean_absolute_error: 0.0093117/126 [==========================>...] - ETA: 0s - loss: 1.4169e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.4798e-04 - mean_absolute_error: 0.0092 - val_loss: 6.7610e-05 - val_mean_absolute_error: 0.0067
Epoch 61/100
  1/126 [..............................] - ETA: 0s - loss: 1.5976e-04 - mean_absolute_error: 0.0099 10/126 [=>............................] - ETA: 0s - loss: 1.4163e-04 - mean_absolute_error: 0.0087 16/126 [==>...........................] - ETA: 0s - loss: 1.6376e-04 - mean_absolute_error: 0.0087 22/126 [====>.........................] - ETA: 0s - loss: 1.5313e-04 - mean_absolute_error: 0.0087 29/126 [=====>........................] - ETA: 0s - loss: 1.4084e-04 - mean_absolute_error: 0.0085 35/126 [=======>......................] - ETA: 0s - loss: 1.4005e-04 - mean_absolute_error: 0.0086 42/126 [=========>....................] - ETA: 0s - loss: 1.4659e-04 - mean_absolute_error: 0.0090 49/126 [==========>...................] - ETA: 0s - loss: 1.4752e-04 - mean_absolute_error: 0.0091 56/126 [============>.................] - ETA: 0s - loss: 1.6025e-04 - mean_absolute_error: 0.0095 63/126 [==============>...............] - ETA: 0s - loss: 1.6150e-04 - mean_absolute_error: 0.0096 70/126 [===============>..............] - ETA: 0s - loss: 1.6128e-04 - mean_absolute_error: 0.0096 76/126 [=================>............] - ETA: 0s - loss: 1.5810e-04 - mean_absolute_error: 0.0095 83/126 [==================>...........] - ETA: 0s - loss: 1.6500e-04 - mean_absolute_error: 0.0097 90/126 [====================>.........] - ETA: 0s - loss: 1.6541e-04 - mean_absolute_error: 0.0097 97/126 [======================>.......] - ETA: 0s - loss: 1.6242e-04 - mean_absolute_error: 0.0096104/126 [=======================>......] - ETA: 0s - loss: 1.5925e-04 - mean_absolute_error: 0.0095111/126 [=========================>....] - ETA: 0s - loss: 1.5642e-04 - mean_absolute_error: 0.0095118/126 [===========================>..] - ETA: 0s - loss: 1.5724e-04 - mean_absolute_error: 0.0095125/126 [============================>.] - ETA: 0s - loss: 1.5615e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 1s 9ms/step - loss: 1.5603e-04 - mean_absolute_error: 0.0095 - val_loss: 5.6944e-05 - val_mean_absolute_error: 0.0061
Epoch 62/100
  1/126 [..............................] - ETA: 0s - loss: 5.5303e-04 - mean_absolute_error: 0.0115 10/126 [=>............................] - ETA: 0s - loss: 1.7689e-04 - mean_absolute_error: 0.0090 19/126 [===>..........................] - ETA: 0s - loss: 1.5182e-04 - mean_absolute_error: 0.0087 28/126 [=====>........................] - ETA: 0s - loss: 1.6099e-04 - mean_absolute_error: 0.0093 38/126 [========>.....................] - ETA: 0s - loss: 1.5965e-04 - mean_absolute_error: 0.0094 48/126 [==========>...................] - ETA: 0s - loss: 1.5674e-04 - mean_absolute_error: 0.0094 57/126 [============>.................] - ETA: 0s - loss: 1.5102e-04 - mean_absolute_error: 0.0093 66/126 [==============>...............] - ETA: 0s - loss: 1.4782e-04 - mean_absolute_error: 0.0092 76/126 [=================>............] - ETA: 0s - loss: 1.4906e-04 - mean_absolute_error: 0.0093 85/126 [===================>..........] - ETA: 0s - loss: 1.5100e-04 - mean_absolute_error: 0.0094 94/126 [=====================>........] - ETA: 0s - loss: 1.5209e-04 - mean_absolute_error: 0.0094104/126 [=======================>......] - ETA: 0s - loss: 1.5232e-04 - mean_absolute_error: 0.0094113/126 [=========================>....] - ETA: 0s - loss: 1.5671e-04 - mean_absolute_error: 0.0095123/126 [============================>.] - ETA: 0s - loss: 1.5714e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 1s 6ms/step - loss: 1.5698e-04 - mean_absolute_error: 0.0095 - val_loss: 1.2272e-04 - val_mean_absolute_error: 0.0094
Epoch 63/100
  1/126 [..............................] - ETA: 0s - loss: 1.7225e-04 - mean_absolute_error: 0.0111 10/126 [=>............................] - ETA: 0s - loss: 1.5338e-04 - mean_absolute_error: 0.0094 20/126 [===>..........................] - ETA: 0s - loss: 1.5438e-04 - mean_absolute_error: 0.0098 30/126 [======>.......................] - ETA: 0s - loss: 1.6921e-04 - mean_absolute_error: 0.0102 39/126 [========>.....................] - ETA: 0s - loss: 1.5679e-04 - mean_absolute_error: 0.0097 48/126 [==========>...................] - ETA: 0s - loss: 1.5880e-04 - mean_absolute_error: 0.0098 57/126 [============>.................] - ETA: 0s - loss: 1.5967e-04 - mean_absolute_error: 0.0096 67/126 [==============>...............] - ETA: 0s - loss: 1.5511e-04 - mean_absolute_error: 0.0095 77/126 [=================>............] - ETA: 0s - loss: 1.6011e-04 - mean_absolute_error: 0.0097 86/126 [===================>..........] - ETA: 0s - loss: 1.6790e-04 - mean_absolute_error: 0.0098 96/126 [=====================>........] - ETA: 0s - loss: 1.6494e-04 - mean_absolute_error: 0.0098106/126 [========================>.....] - ETA: 0s - loss: 1.6134e-04 - mean_absolute_error: 0.0097115/126 [==========================>...] - ETA: 0s - loss: 1.5879e-04 - mean_absolute_error: 0.0096124/126 [============================>.] - ETA: 0s - loss: 1.5399e-04 - mean_absolute_error: 0.0094126/126 [==============================] - 1s 6ms/step - loss: 1.5360e-04 - mean_absolute_error: 0.0094 - val_loss: 5.2942e-05 - val_mean_absolute_error: 0.0058
Epoch 64/100
  1/126 [..............................] - ETA: 1s - loss: 1.1302e-04 - mean_absolute_error: 0.0089  9/126 [=>............................] - ETA: 0s - loss: 1.8538e-04 - mean_absolute_error: 0.0089 17/126 [===>..........................] - ETA: 0s - loss: 1.4939e-04 - mean_absolute_error: 0.0084 24/126 [====>.........................] - ETA: 0s - loss: 1.4311e-04 - mean_absolute_error: 0.0085 32/126 [======>.......................] - ETA: 0s - loss: 1.4514e-04 - mean_absolute_error: 0.0087 40/126 [========>.....................] - ETA: 0s - loss: 1.3580e-04 - mean_absolute_error: 0.0085 48/126 [==========>...................] - ETA: 0s - loss: 1.3270e-04 - mean_absolute_error: 0.0085 56/126 [============>.................] - ETA: 0s - loss: 1.3255e-04 - mean_absolute_error: 0.0086 64/126 [==============>...............] - ETA: 0s - loss: 1.3505e-04 - mean_absolute_error: 0.0087 72/126 [================>.............] - ETA: 0s - loss: 1.3886e-04 - mean_absolute_error: 0.0087 80/126 [==================>...........] - ETA: 0s - loss: 1.3935e-04 - mean_absolute_error: 0.0087 88/126 [===================>..........] - ETA: 0s - loss: 1.3829e-04 - mean_absolute_error: 0.0087 95/126 [=====================>........] - ETA: 0s - loss: 1.3641e-04 - mean_absolute_error: 0.0086103/126 [=======================>......] - ETA: 0s - loss: 1.3468e-04 - mean_absolute_error: 0.0086111/126 [=========================>....] - ETA: 0s - loss: 1.3372e-04 - mean_absolute_error: 0.0086118/126 [===========================>..] - ETA: 0s - loss: 1.3187e-04 - mean_absolute_error: 0.0086126/126 [==============================] - ETA: 0s - loss: 1.3017e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 1s 8ms/step - loss: 1.3017e-04 - mean_absolute_error: 0.0085 - val_loss: 5.5091e-05 - val_mean_absolute_error: 0.0060
Epoch 65/100
  1/126 [..............................] - ETA: 0s - loss: 1.5900e-04 - mean_absolute_error: 0.0106 11/126 [=>............................] - ETA: 0s - loss: 2.2714e-04 - mean_absolute_error: 0.0107 21/126 [====>.........................] - ETA: 0s - loss: 2.2651e-04 - mean_absolute_error: 0.0109 31/126 [======>.......................] - ETA: 0s - loss: 1.9520e-04 - mean_absolute_error: 0.0102 41/126 [========>.....................] - ETA: 0s - loss: 1.7600e-04 - mean_absolute_error: 0.0097 54/126 [===========>..................] - ETA: 0s - loss: 1.6119e-04 - mean_absolute_error: 0.0093 71/126 [===============>..............] - ETA: 0s - loss: 1.5702e-04 - mean_absolute_error: 0.0093 88/126 [===================>..........] - ETA: 0s - loss: 1.5247e-04 - mean_absolute_error: 0.0092105/126 [========================>.....] - ETA: 0s - loss: 1.4899e-04 - mean_absolute_error: 0.0092121/126 [===========================>..] - ETA: 0s - loss: 1.4939e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 1s 4ms/step - loss: 1.4919e-04 - mean_absolute_error: 0.0092 - val_loss: 6.5862e-05 - val_mean_absolute_error: 0.0066
Epoch 66/100
  1/126 [..............................] - ETA: 0s - loss: 1.0274e-04 - mean_absolute_error: 0.0081 17/126 [===>..........................] - ETA: 0s - loss: 2.2519e-04 - mean_absolute_error: 0.0114 34/126 [=======>......................] - ETA: 0s - loss: 1.8958e-04 - mean_absolute_error: 0.0107 51/126 [===========>..................] - ETA: 0s - loss: 1.7323e-04 - mean_absolute_error: 0.0101 66/126 [==============>...............] - ETA: 0s - loss: 1.5802e-04 - mean_absolute_error: 0.0095 82/126 [==================>...........] - ETA: 0s - loss: 1.5214e-04 - mean_absolute_error: 0.0094 98/126 [======================>.......] - ETA: 0s - loss: 1.4576e-04 - mean_absolute_error: 0.0092114/126 [==========================>...] - ETA: 0s - loss: 1.4797e-04 - mean_absolute_error: 0.0092126/126 [==============================] - 0s 4ms/step - loss: 1.4589e-04 - mean_absolute_error: 0.0091 - val_loss: 8.9820e-05 - val_mean_absolute_error: 0.0079
Epoch 67/100
  1/126 [..............................] - ETA: 0s - loss: 1.6220e-04 - mean_absolute_error: 0.0098 18/126 [===>..........................] - ETA: 0s - loss: 1.4273e-04 - mean_absolute_error: 0.0091 34/126 [=======>......................] - ETA: 0s - loss: 1.3999e-04 - mean_absolute_error: 0.0090 50/126 [==========>...................] - ETA: 0s - loss: 1.3802e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.4124e-04 - mean_absolute_error: 0.0088 83/126 [==================>...........] - ETA: 0s - loss: 1.4071e-04 - mean_absolute_error: 0.0088100/126 [======================>.......] - ETA: 0s - loss: 1.3797e-04 - mean_absolute_error: 0.0087116/126 [==========================>...] - ETA: 0s - loss: 1.4095e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 4ms/step - loss: 1.3920e-04 - mean_absolute_error: 0.0088 - val_loss: 4.3957e-05 - val_mean_absolute_error: 0.0051
Epoch 68/100
  1/126 [..............................] - ETA: 0s - loss: 7.4829e-05 - mean_absolute_error: 0.0067 16/126 [==>...........................] - ETA: 0s - loss: 1.6860e-04 - mean_absolute_error: 0.0102 24/126 [====>.........................] - ETA: 0s - loss: 1.8410e-04 - mean_absolute_error: 0.0107 32/126 [======>.......................] - ETA: 0s - loss: 1.7938e-04 - mean_absolute_error: 0.0105 40/126 [========>.....................] - ETA: 0s - loss: 1.7341e-04 - mean_absolute_error: 0.0103 48/126 [==========>...................] - ETA: 0s - loss: 1.7359e-04 - mean_absolute_error: 0.0100 56/126 [============>.................] - ETA: 0s - loss: 1.6639e-04 - mean_absolute_error: 0.0098 64/126 [==============>...............] - ETA: 0s - loss: 1.6063e-04 - mean_absolute_error: 0.0096 72/126 [================>.............] - ETA: 0s - loss: 1.6343e-04 - mean_absolute_error: 0.0097 80/126 [==================>...........] - ETA: 0s - loss: 1.6203e-04 - mean_absolute_error: 0.0097 88/126 [===================>..........] - ETA: 0s - loss: 1.5718e-04 - mean_absolute_error: 0.0096 96/126 [=====================>........] - ETA: 0s - loss: 1.5526e-04 - mean_absolute_error: 0.0095104/126 [=======================>......] - ETA: 0s - loss: 1.5312e-04 - mean_absolute_error: 0.0094112/126 [=========================>....] - ETA: 0s - loss: 1.5317e-04 - mean_absolute_error: 0.0095120/126 [===========================>..] - ETA: 0s - loss: 1.5505e-04 - mean_absolute_error: 0.0095126/126 [==============================] - 1s 7ms/step - loss: 1.6167e-04 - mean_absolute_error: 0.0096 - val_loss: 4.4293e-05 - val_mean_absolute_error: 0.0051
Epoch 69/100
  1/126 [..............................] - ETA: 0s - loss: 5.8472e-04 - mean_absolute_error: 0.0110 11/126 [=>............................] - ETA: 0s - loss: 2.0993e-04 - mean_absolute_error: 0.0106 21/126 [====>.........................] - ETA: 0s - loss: 1.8281e-04 - mean_absolute_error: 0.0101 31/126 [======>.......................] - ETA: 0s - loss: 1.6309e-04 - mean_absolute_error: 0.0097 41/126 [========>.....................] - ETA: 0s - loss: 1.5572e-04 - mean_absolute_error: 0.0095 51/126 [===========>..................] - ETA: 0s - loss: 1.5416e-04 - mean_absolute_error: 0.0095 63/126 [==============>...............] - ETA: 0s - loss: 1.5126e-04 - mean_absolute_error: 0.0094 79/126 [=================>............] - ETA: 0s - loss: 1.4201e-04 - mean_absolute_error: 0.0091 95/126 [=====================>........] - ETA: 0s - loss: 1.3731e-04 - mean_absolute_error: 0.0090111/126 [=========================>....] - ETA: 0s - loss: 1.3701e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 1s 5ms/step - loss: 1.4115e-04 - mean_absolute_error: 0.0090 - val_loss: 9.1686e-05 - val_mean_absolute_error: 0.0080
Epoch 70/100
  1/126 [..............................] - ETA: 0s - loss: 9.2667e-05 - mean_absolute_error: 0.0077 17/126 [===>..........................] - ETA: 0s - loss: 1.2642e-04 - mean_absolute_error: 0.0085 33/126 [======>.......................] - ETA: 0s - loss: 1.2081e-04 - mean_absolute_error: 0.0085 50/126 [==========>...................] - ETA: 0s - loss: 1.2144e-04 - mean_absolute_error: 0.0086 67/126 [==============>...............] - ETA: 0s - loss: 1.2699e-04 - mean_absolute_error: 0.0087 83/126 [==================>...........] - ETA: 0s - loss: 1.4003e-04 - mean_absolute_error: 0.0090 99/126 [======================>.......] - ETA: 0s - loss: 1.4483e-04 - mean_absolute_error: 0.0092115/126 [==========================>...] - ETA: 0s - loss: 1.4310e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 4ms/step - loss: 1.4142e-04 - mean_absolute_error: 0.0090 - val_loss: 4.5197e-05 - val_mean_absolute_error: 0.0052
Epoch 71/100
  1/126 [..............................] - ETA: 0s - loss: 1.0126e-04 - mean_absolute_error: 0.0082 18/126 [===>..........................] - ETA: 0s - loss: 1.1517e-04 - mean_absolute_error: 0.0083 33/126 [======>.......................] - ETA: 0s - loss: 1.1610e-04 - mean_absolute_error: 0.0082 50/126 [==========>...................] - ETA: 0s - loss: 1.3671e-04 - mean_absolute_error: 0.0087 66/126 [==============>...............] - ETA: 0s - loss: 1.5206e-04 - mean_absolute_error: 0.0093 83/126 [==================>...........] - ETA: 0s - loss: 1.4810e-04 - mean_absolute_error: 0.0090 99/126 [======================>.......] - ETA: 0s - loss: 1.4605e-04 - mean_absolute_error: 0.0090115/126 [==========================>...] - ETA: 0s - loss: 1.4607e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 4ms/step - loss: 1.4384e-04 - mean_absolute_error: 0.0090 - val_loss: 7.0675e-05 - val_mean_absolute_error: 0.0069
Epoch 72/100
  1/126 [..............................] - ETA: 0s - loss: 1.5832e-04 - mean_absolute_error: 0.0096 18/126 [===>..........................] - ETA: 0s - loss: 1.3042e-04 - mean_absolute_error: 0.0087 34/126 [=======>......................] - ETA: 0s - loss: 1.3999e-04 - mean_absolute_error: 0.0092 50/126 [==========>...................] - ETA: 0s - loss: 1.5458e-04 - mean_absolute_error: 0.0097 66/126 [==============>...............] - ETA: 0s - loss: 1.4557e-04 - mean_absolute_error: 0.0094 82/126 [==================>...........] - ETA: 0s - loss: 1.4030e-04 - mean_absolute_error: 0.0092 98/126 [======================>.......] - ETA: 0s - loss: 1.4636e-04 - mean_absolute_error: 0.0091115/126 [==========================>...] - ETA: 0s - loss: 1.4370e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 4ms/step - loss: 1.4129e-04 - mean_absolute_error: 0.0090 - val_loss: 6.4955e-05 - val_mean_absolute_error: 0.0066
Epoch 73/100
  1/126 [..............................] - ETA: 0s - loss: 1.2389e-04 - mean_absolute_error: 0.0093 17/126 [===>..........................] - ETA: 0s - loss: 1.2932e-04 - mean_absolute_error: 0.0089 34/126 [=======>......................] - ETA: 0s - loss: 1.4898e-04 - mean_absolute_error: 0.0092 51/126 [===========>..................] - ETA: 0s - loss: 1.5211e-04 - mean_absolute_error: 0.0094 67/126 [==============>...............] - ETA: 0s - loss: 1.5775e-04 - mean_absolute_error: 0.0095 84/126 [===================>..........] - ETA: 0s - loss: 1.4901e-04 - mean_absolute_error: 0.0092100/126 [======================>.......] - ETA: 0s - loss: 1.4576e-04 - mean_absolute_error: 0.0092116/126 [==========================>...] - ETA: 0s - loss: 1.4813e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 4ms/step - loss: 1.4762e-04 - mean_absolute_error: 0.0093 - val_loss: 4.4965e-05 - val_mean_absolute_error: 0.0052
Epoch 74/100
  1/126 [..............................] - ETA: 0s - loss: 1.0730e-04 - mean_absolute_error: 0.0085 18/126 [===>..........................] - ETA: 0s - loss: 1.2607e-04 - mean_absolute_error: 0.0090 34/126 [=======>......................] - ETA: 0s - loss: 1.3117e-04 - mean_absolute_error: 0.0090 51/126 [===========>..................] - ETA: 0s - loss: 1.3029e-04 - mean_absolute_error: 0.0088 66/126 [==============>...............] - ETA: 0s - loss: 1.2568e-04 - mean_absolute_error: 0.0086 83/126 [==================>...........] - ETA: 0s - loss: 1.2343e-04 - mean_absolute_error: 0.0083100/126 [======================>.......] - ETA: 0s - loss: 1.2824e-04 - mean_absolute_error: 0.0085116/126 [==========================>...] - ETA: 0s - loss: 1.2580e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.2623e-04 - mean_absolute_error: 0.0085 - val_loss: 1.2246e-04 - val_mean_absolute_error: 0.0095
Epoch 75/100
  1/126 [..............................] - ETA: 0s - loss: 1.7543e-04 - mean_absolute_error: 0.0113 18/126 [===>..........................] - ETA: 0s - loss: 1.4042e-04 - mean_absolute_error: 0.0084 34/126 [=======>......................] - ETA: 0s - loss: 1.2429e-04 - mean_absolute_error: 0.0081 51/126 [===========>..................] - ETA: 0s - loss: 1.2402e-04 - mean_absolute_error: 0.0083 68/126 [===============>..............] - ETA: 0s - loss: 1.2464e-04 - mean_absolute_error: 0.0084 84/126 [===================>..........] - ETA: 0s - loss: 1.3611e-04 - mean_absolute_error: 0.0087101/126 [=======================>......] - ETA: 0s - loss: 1.3040e-04 - mean_absolute_error: 0.0085117/126 [==========================>...] - ETA: 0s - loss: 1.2625e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 3ms/step - loss: 1.2545e-04 - mean_absolute_error: 0.0084 - val_loss: 7.0244e-05 - val_mean_absolute_error: 0.0069
Epoch 76/100
  1/126 [..............................] - ETA: 0s - loss: 1.5390e-04 - mean_absolute_error: 0.0095 17/126 [===>..........................] - ETA: 0s - loss: 1.7200e-04 - mean_absolute_error: 0.0106 33/126 [======>.......................] - ETA: 0s - loss: 1.6183e-04 - mean_absolute_error: 0.0100 50/126 [==========>...................] - ETA: 0s - loss: 1.6750e-04 - mean_absolute_error: 0.0097 67/126 [==============>...............] - ETA: 0s - loss: 1.5312e-04 - mean_absolute_error: 0.0093 84/126 [===================>..........] - ETA: 0s - loss: 1.4349e-04 - mean_absolute_error: 0.0090101/126 [=======================>......] - ETA: 0s - loss: 1.3679e-04 - mean_absolute_error: 0.0088117/126 [==========================>...] - ETA: 0s - loss: 1.3657e-04 - mean_absolute_error: 0.0088126/126 [==============================] - 0s 3ms/step - loss: 1.3699e-04 - mean_absolute_error: 0.0088 - val_loss: 4.1489e-05 - val_mean_absolute_error: 0.0047
Epoch 77/100
  1/126 [..............................] - ETA: 0s - loss: 7.7230e-05 - mean_absolute_error: 0.0062 18/126 [===>..........................] - ETA: 0s - loss: 1.3317e-04 - mean_absolute_error: 0.0089 34/126 [=======>......................] - ETA: 0s - loss: 1.3362e-04 - mean_absolute_error: 0.0090 51/126 [===========>..................] - ETA: 0s - loss: 1.3470e-04 - mean_absolute_error: 0.0088 67/126 [==============>...............] - ETA: 0s - loss: 1.3043e-04 - mean_absolute_error: 0.0086 83/126 [==================>...........] - ETA: 0s - loss: 1.3294e-04 - mean_absolute_error: 0.0087 99/126 [======================>.......] - ETA: 0s - loss: 1.3371e-04 - mean_absolute_error: 0.0088116/126 [==========================>...] - ETA: 0s - loss: 1.3536e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 3ms/step - loss: 1.3458e-04 - mean_absolute_error: 0.0088 - val_loss: 6.5975e-05 - val_mean_absolute_error: 0.0066
Epoch 78/100
  1/126 [..............................] - ETA: 0s - loss: 1.1612e-04 - mean_absolute_error: 0.0083 18/126 [===>..........................] - ETA: 0s - loss: 1.2594e-04 - mean_absolute_error: 0.0087 35/126 [=======>......................] - ETA: 0s - loss: 1.3428e-04 - mean_absolute_error: 0.0086 51/126 [===========>..................] - ETA: 0s - loss: 1.3957e-04 - mean_absolute_error: 0.0088 68/126 [===============>..............] - ETA: 0s - loss: 1.4089e-04 - mean_absolute_error: 0.0089 86/126 [===================>..........] - ETA: 0s - loss: 1.3930e-04 - mean_absolute_error: 0.0090103/126 [=======================>......] - ETA: 0s - loss: 1.5769e-04 - mean_absolute_error: 0.0096120/126 [===========================>..] - ETA: 0s - loss: 1.6122e-04 - mean_absolute_error: 0.0097126/126 [==============================] - 0s 3ms/step - loss: 1.5843e-04 - mean_absolute_error: 0.0096 - val_loss: 5.1247e-05 - val_mean_absolute_error: 0.0057
Epoch 79/100
  1/126 [..............................] - ETA: 0s - loss: 8.0428e-05 - mean_absolute_error: 0.0071 18/126 [===>..........................] - ETA: 0s - loss: 1.1790e-04 - mean_absolute_error: 0.0082 35/126 [=======>......................] - ETA: 0s - loss: 1.1402e-04 - mean_absolute_error: 0.0082 51/126 [===========>..................] - ETA: 0s - loss: 1.0702e-04 - mean_absolute_error: 0.0080 67/126 [==============>...............] - ETA: 0s - loss: 1.1865e-04 - mean_absolute_error: 0.0082 84/126 [===================>..........] - ETA: 0s - loss: 1.2569e-04 - mean_absolute_error: 0.0084101/126 [=======================>......] - ETA: 0s - loss: 1.2029e-04 - mean_absolute_error: 0.0082117/126 [==========================>...] - ETA: 0s - loss: 1.1949e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1794e-04 - mean_absolute_error: 0.0082 - val_loss: 5.7450e-05 - val_mean_absolute_error: 0.0061
Epoch 80/100
  1/126 [..............................] - ETA: 0s - loss: 7.6156e-05 - mean_absolute_error: 0.0063 17/126 [===>..........................] - ETA: 0s - loss: 9.1361e-05 - mean_absolute_error: 0.0074 33/126 [======>.......................] - ETA: 0s - loss: 1.0134e-04 - mean_absolute_error: 0.0076 49/126 [==========>...................] - ETA: 0s - loss: 1.3352e-04 - mean_absolute_error: 0.0087 65/126 [==============>...............] - ETA: 0s - loss: 1.4372e-04 - mean_absolute_error: 0.0091 81/126 [==================>...........] - ETA: 0s - loss: 1.3268e-04 - mean_absolute_error: 0.0087 97/126 [======================>.......] - ETA: 0s - loss: 1.3918e-04 - mean_absolute_error: 0.0087113/126 [=========================>....] - ETA: 0s - loss: 1.3682e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 4ms/step - loss: 1.3613e-04 - mean_absolute_error: 0.0087 - val_loss: 5.6880e-05 - val_mean_absolute_error: 0.0061
Epoch 81/100
  1/126 [..............................] - ETA: 0s - loss: 6.7836e-05 - mean_absolute_error: 0.0067 17/126 [===>..........................] - ETA: 0s - loss: 1.3320e-04 - mean_absolute_error: 0.0087 34/126 [=======>......................] - ETA: 0s - loss: 1.3414e-04 - mean_absolute_error: 0.0085 50/126 [==========>...................] - ETA: 0s - loss: 1.2513e-04 - mean_absolute_error: 0.0083 66/126 [==============>...............] - ETA: 0s - loss: 1.2890e-04 - mean_absolute_error: 0.0084 82/126 [==================>...........] - ETA: 0s - loss: 1.3056e-04 - mean_absolute_error: 0.0085 98/126 [======================>.......] - ETA: 0s - loss: 1.3616e-04 - mean_absolute_error: 0.0088114/126 [==========================>...] - ETA: 0s - loss: 1.3897e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 4ms/step - loss: 1.3722e-04 - mean_absolute_error: 0.0089 - val_loss: 4.1693e-05 - val_mean_absolute_error: 0.0049
Epoch 82/100
  1/126 [..............................] - ETA: 0s - loss: 1.1267e-04 - mean_absolute_error: 0.0078 18/126 [===>..........................] - ETA: 0s - loss: 1.4192e-04 - mean_absolute_error: 0.0087 35/126 [=======>......................] - ETA: 0s - loss: 1.4951e-04 - mean_absolute_error: 0.0092 51/126 [===========>..................] - ETA: 0s - loss: 1.4064e-04 - mean_absolute_error: 0.0089 67/126 [==============>...............] - ETA: 0s - loss: 1.2946e-04 - mean_absolute_error: 0.0085 84/126 [===================>..........] - ETA: 0s - loss: 1.2288e-04 - mean_absolute_error: 0.0084100/126 [======================>.......] - ETA: 0s - loss: 1.1765e-04 - mean_absolute_error: 0.0082116/126 [==========================>...] - ETA: 0s - loss: 1.2940e-04 - mean_absolute_error: 0.0085126/126 [==============================] - 0s 3ms/step - loss: 1.2987e-04 - mean_absolute_error: 0.0086 - val_loss: 9.4535e-05 - val_mean_absolute_error: 0.0082
Epoch 83/100
  1/126 [..............................] - ETA: 0s - loss: 2.0856e-04 - mean_absolute_error: 0.0125 18/126 [===>..........................] - ETA: 0s - loss: 1.1979e-04 - mean_absolute_error: 0.0083 35/126 [=======>......................] - ETA: 0s - loss: 1.1755e-04 - mean_absolute_error: 0.0083 52/126 [===========>..................] - ETA: 0s - loss: 1.1893e-04 - mean_absolute_error: 0.0082 68/126 [===============>..............] - ETA: 0s - loss: 1.2436e-04 - mean_absolute_error: 0.0084 85/126 [===================>..........] - ETA: 0s - loss: 1.4007e-04 - mean_absolute_error: 0.0091101/126 [=======================>......] - ETA: 0s - loss: 1.4277e-04 - mean_absolute_error: 0.0092117/126 [==========================>...] - ETA: 0s - loss: 1.4438e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 3ms/step - loss: 1.4957e-04 - mean_absolute_error: 0.0093 - val_loss: 4.1698e-05 - val_mean_absolute_error: 0.0049
Epoch 84/100
  1/126 [..............................] - ETA: 0s - loss: 1.0615e-04 - mean_absolute_error: 0.0065 18/126 [===>..........................] - ETA: 0s - loss: 1.0242e-04 - mean_absolute_error: 0.0077 34/126 [=======>......................] - ETA: 0s - loss: 1.2986e-04 - mean_absolute_error: 0.0083 51/126 [===========>..................] - ETA: 0s - loss: 1.3005e-04 - mean_absolute_error: 0.0083 68/126 [===============>..............] - ETA: 0s - loss: 1.2626e-04 - mean_absolute_error: 0.0082 84/126 [===================>..........] - ETA: 0s - loss: 1.2442e-04 - mean_absolute_error: 0.0082100/126 [======================>.......] - ETA: 0s - loss: 1.2032e-04 - mean_absolute_error: 0.0081117/126 [==========================>...] - ETA: 0s - loss: 1.1964e-04 - mean_absolute_error: 0.0082126/126 [==============================] - 0s 3ms/step - loss: 1.1847e-04 - mean_absolute_error: 0.0081 - val_loss: 5.2565e-05 - val_mean_absolute_error: 0.0059
Epoch 85/100
  1/126 [..............................] - ETA: 0s - loss: 1.1761e-04 - mean_absolute_error: 0.0079 17/126 [===>..........................] - ETA: 0s - loss: 1.3152e-04 - mean_absolute_error: 0.0088 34/126 [=======>......................] - ETA: 0s - loss: 1.3247e-04 - mean_absolute_error: 0.0087 51/126 [===========>..................] - ETA: 0s - loss: 1.2606e-04 - mean_absolute_error: 0.0086 67/126 [==============>...............] - ETA: 0s - loss: 1.2563e-04 - mean_absolute_error: 0.0087 83/126 [==================>...........] - ETA: 0s - loss: 1.1931e-04 - mean_absolute_error: 0.0083 99/126 [======================>.......] - ETA: 0s - loss: 1.1838e-04 - mean_absolute_error: 0.0083115/126 [==========================>...] - ETA: 0s - loss: 1.2375e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 4ms/step - loss: 1.3135e-04 - mean_absolute_error: 0.0087 - val_loss: 4.7817e-05 - val_mean_absolute_error: 0.0055
Epoch 86/100
  1/126 [..............................] - ETA: 0s - loss: 1.4572e-04 - mean_absolute_error: 0.0091 18/126 [===>..........................] - ETA: 0s - loss: 1.2626e-04 - mean_absolute_error: 0.0088 34/126 [=======>......................] - ETA: 0s - loss: 1.2397e-04 - mean_absolute_error: 0.0087 50/126 [==========>...................] - ETA: 0s - loss: 1.1918e-04 - mean_absolute_error: 0.0084 67/126 [==============>...............] - ETA: 0s - loss: 1.1587e-04 - mean_absolute_error: 0.0082 83/126 [==================>...........] - ETA: 0s - loss: 1.1805e-04 - mean_absolute_error: 0.0081 99/126 [======================>.......] - ETA: 0s - loss: 1.2161e-04 - mean_absolute_error: 0.0083116/126 [==========================>...] - ETA: 0s - loss: 1.2586e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 4ms/step - loss: 1.2439e-04 - mean_absolute_error: 0.0084 - val_loss: 7.7008e-05 - val_mean_absolute_error: 0.0073
Epoch 87/100
  1/126 [..............................] - ETA: 0s - loss: 1.4079e-04 - mean_absolute_error: 0.0100 18/126 [===>..........................] - ETA: 0s - loss: 1.2256e-04 - mean_absolute_error: 0.0088 35/126 [=======>......................] - ETA: 0s - loss: 1.2712e-04 - mean_absolute_error: 0.0089 52/126 [===========>..................] - ETA: 0s - loss: 1.2150e-04 - mean_absolute_error: 0.0086 68/126 [===============>..............] - ETA: 0s - loss: 1.1621e-04 - mean_absolute_error: 0.0083 85/126 [===================>..........] - ETA: 0s - loss: 1.1648e-04 - mean_absolute_error: 0.0082102/126 [=======================>......] - ETA: 0s - loss: 1.2090e-04 - mean_absolute_error: 0.0082118/126 [===========================>..] - ETA: 0s - loss: 1.1875e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 3ms/step - loss: 1.2035e-04 - mean_absolute_error: 0.0082 - val_loss: 8.4175e-05 - val_mean_absolute_error: 0.0078
Epoch 88/100
  1/126 [..............................] - ETA: 0s - loss: 1.2153e-04 - mean_absolute_error: 0.0090 18/126 [===>..........................] - ETA: 0s - loss: 1.0654e-04 - mean_absolute_error: 0.0080 35/126 [=======>......................] - ETA: 0s - loss: 1.2328e-04 - mean_absolute_error: 0.0082 52/126 [===========>..................] - ETA: 0s - loss: 1.2176e-04 - mean_absolute_error: 0.0081 68/126 [===============>..............] - ETA: 0s - loss: 1.1377e-04 - mean_absolute_error: 0.0079 84/126 [===================>..........] - ETA: 0s - loss: 1.1200e-04 - mean_absolute_error: 0.0078100/126 [======================>.......] - ETA: 0s - loss: 1.1724e-04 - mean_absolute_error: 0.0081116/126 [==========================>...] - ETA: 0s - loss: 1.1749e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 0s 4ms/step - loss: 1.1921e-04 - mean_absolute_error: 0.0082 - val_loss: 8.6891e-05 - val_mean_absolute_error: 0.0079
Epoch 89/100
  1/126 [..............................] - ETA: 0s - loss: 1.0764e-04 - mean_absolute_error: 0.0082 17/126 [===>..........................] - ETA: 0s - loss: 1.6166e-04 - mean_absolute_error: 0.0096 34/126 [=======>......................] - ETA: 0s - loss: 1.4711e-04 - mean_absolute_error: 0.0091 51/126 [===========>..................] - ETA: 0s - loss: 1.3448e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.4523e-04 - mean_absolute_error: 0.0089 84/126 [===================>..........] - ETA: 0s - loss: 1.3525e-04 - mean_absolute_error: 0.0086101/126 [=======================>......] - ETA: 0s - loss: 1.2990e-04 - mean_absolute_error: 0.0085118/126 [===========================>..] - ETA: 0s - loss: 1.3156e-04 - mean_absolute_error: 0.0086126/126 [==============================] - 0s 3ms/step - loss: 1.3052e-04 - mean_absolute_error: 0.0086 - val_loss: 8.8763e-05 - val_mean_absolute_error: 0.0080
Epoch 90/100
  1/126 [..............................] - ETA: 0s - loss: 1.2616e-04 - mean_absolute_error: 0.0099 18/126 [===>..........................] - ETA: 0s - loss: 1.1729e-04 - mean_absolute_error: 0.0085 34/126 [=======>......................] - ETA: 0s - loss: 1.3516e-04 - mean_absolute_error: 0.0091 51/126 [===========>..................] - ETA: 0s - loss: 1.2740e-04 - mean_absolute_error: 0.0087 67/126 [==============>...............] - ETA: 0s - loss: 1.2974e-04 - mean_absolute_error: 0.0087 83/126 [==================>...........] - ETA: 0s - loss: 1.2435e-04 - mean_absolute_error: 0.0085 99/126 [======================>.......] - ETA: 0s - loss: 1.2463e-04 - mean_absolute_error: 0.0085116/126 [==========================>...] - ETA: 0s - loss: 1.3803e-04 - mean_absolute_error: 0.0089126/126 [==============================] - 0s 4ms/step - loss: 1.3780e-04 - mean_absolute_error: 0.0089 - val_loss: 1.7683e-04 - val_mean_absolute_error: 0.0119
Epoch 91/100
  1/126 [..............................] - ETA: 0s - loss: 2.0617e-04 - mean_absolute_error: 0.0113 17/126 [===>..........................] - ETA: 0s - loss: 1.8144e-04 - mean_absolute_error: 0.0107 34/126 [=======>......................] - ETA: 0s - loss: 1.6775e-04 - mean_absolute_error: 0.0097 50/126 [==========>...................] - ETA: 0s - loss: 1.4724e-04 - mean_absolute_error: 0.0091 66/126 [==============>...............] - ETA: 0s - loss: 1.3989e-04 - mean_absolute_error: 0.0088 83/126 [==================>...........] - ETA: 0s - loss: 1.2961e-04 - mean_absolute_error: 0.0085100/126 [======================>.......] - ETA: 0s - loss: 1.2803e-04 - mean_absolute_error: 0.0085116/126 [==========================>...] - ETA: 0s - loss: 1.3334e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 4ms/step - loss: 1.3490e-04 - mean_absolute_error: 0.0088 - val_loss: 4.7390e-05 - val_mean_absolute_error: 0.0055
Epoch 92/100
  1/126 [..............................] - ETA: 0s - loss: 1.2488e-04 - mean_absolute_error: 0.0087 17/126 [===>..........................] - ETA: 0s - loss: 1.5041e-04 - mean_absolute_error: 0.0097 33/126 [======>.......................] - ETA: 0s - loss: 1.6852e-04 - mean_absolute_error: 0.0103 50/126 [==========>...................] - ETA: 0s - loss: 1.7018e-04 - mean_absolute_error: 0.0102 65/126 [==============>...............] - ETA: 0s - loss: 1.6817e-04 - mean_absolute_error: 0.0098 82/126 [==================>...........] - ETA: 0s - loss: 1.5863e-04 - mean_absolute_error: 0.0095 99/126 [======================>.......] - ETA: 0s - loss: 1.4994e-04 - mean_absolute_error: 0.0092115/126 [==========================>...] - ETA: 0s - loss: 1.4299e-04 - mean_absolute_error: 0.0091126/126 [==============================] - 0s 4ms/step - loss: 1.4047e-04 - mean_absolute_error: 0.0090 - val_loss: 9.3332e-05 - val_mean_absolute_error: 0.0082
Epoch 93/100
  1/126 [..............................] - ETA: 0s - loss: 1.7337e-04 - mean_absolute_error: 0.0109 18/126 [===>..........................] - ETA: 0s - loss: 1.2434e-04 - mean_absolute_error: 0.0088 34/126 [=======>......................] - ETA: 0s - loss: 1.1763e-04 - mean_absolute_error: 0.0085 51/126 [===========>..................] - ETA: 0s - loss: 1.1231e-04 - mean_absolute_error: 0.0082 68/126 [===============>..............] - ETA: 0s - loss: 1.2169e-04 - mean_absolute_error: 0.0083 85/126 [===================>..........] - ETA: 0s - loss: 1.2740e-04 - mean_absolute_error: 0.0084101/126 [=======================>......] - ETA: 0s - loss: 1.2352e-04 - mean_absolute_error: 0.0083117/126 [==========================>...] - ETA: 0s - loss: 1.2427e-04 - mean_absolute_error: 0.0084126/126 [==============================] - 0s 4ms/step - loss: 1.2560e-04 - mean_absolute_error: 0.0085 - val_loss: 4.4675e-05 - val_mean_absolute_error: 0.0052
Epoch 94/100
  1/126 [..............................] - ETA: 0s - loss: 7.3478e-05 - mean_absolute_error: 0.0069 17/126 [===>..........................] - ETA: 0s - loss: 1.8616e-04 - mean_absolute_error: 0.0099 33/126 [======>.......................] - ETA: 0s - loss: 2.0076e-04 - mean_absolute_error: 0.0109 49/126 [==========>...................] - ETA: 0s - loss: 2.0275e-04 - mean_absolute_error: 0.0111 65/126 [==============>...............] - ETA: 0s - loss: 1.7696e-04 - mean_absolute_error: 0.0103 82/126 [==================>...........] - ETA: 0s - loss: 1.6819e-04 - mean_absolute_error: 0.0100 99/126 [======================>.......] - ETA: 0s - loss: 1.5650e-04 - mean_absolute_error: 0.0096116/126 [==========================>...] - ETA: 0s - loss: 1.4946e-04 - mean_absolute_error: 0.0093126/126 [==============================] - 0s 4ms/step - loss: 1.4870e-04 - mean_absolute_error: 0.0093 - val_loss: 5.8939e-05 - val_mean_absolute_error: 0.0063
Epoch 95/100
  1/126 [..............................] - ETA: 0s - loss: 1.4159e-04 - mean_absolute_error: 0.0099 10/126 [=>............................] - ETA: 0s - loss: 9.3717e-05 - mean_absolute_error: 0.0074 17/126 [===>..........................] - ETA: 0s - loss: 1.0100e-04 - mean_absolute_error: 0.0075 24/126 [====>.........................] - ETA: 0s - loss: 9.5844e-05 - mean_absolute_error: 0.0073 31/126 [======>.......................] - ETA: 0s - loss: 9.9808e-05 - mean_absolute_error: 0.0076 38/126 [========>.....................] - ETA: 0s - loss: 1.0031e-04 - mean_absolute_error: 0.0076 45/126 [=========>....................] - ETA: 0s - loss: 9.8361e-05 - mean_absolute_error: 0.0076 52/126 [===========>..................] - ETA: 0s - loss: 9.7614e-05 - mean_absolute_error: 0.0075 59/126 [=============>................] - ETA: 0s - loss: 1.0526e-04 - mean_absolute_error: 0.0077 66/126 [==============>...............] - ETA: 0s - loss: 1.0696e-04 - mean_absolute_error: 0.0078 73/126 [================>.............] - ETA: 0s - loss: 1.1304e-04 - mean_absolute_error: 0.0080 80/126 [==================>...........] - ETA: 0s - loss: 1.1195e-04 - mean_absolute_error: 0.0080 87/126 [===================>..........] - ETA: 0s - loss: 1.1049e-04 - mean_absolute_error: 0.0080 94/126 [=====================>........] - ETA: 0s - loss: 1.1607e-04 - mean_absolute_error: 0.0081101/126 [=======================>......] - ETA: 0s - loss: 1.1646e-04 - mean_absolute_error: 0.0081108/126 [========================>.....] - ETA: 0s - loss: 1.1617e-04 - mean_absolute_error: 0.0081115/126 [==========================>...] - ETA: 0s - loss: 1.1596e-04 - mean_absolute_error: 0.0081122/126 [============================>.] - ETA: 0s - loss: 1.1577e-04 - mean_absolute_error: 0.0081126/126 [==============================] - 1s 8ms/step - loss: 1.1569e-04 - mean_absolute_error: 0.0081 - val_loss: 8.8378e-05 - val_mean_absolute_error: 0.0080
Epoch 96/100
  1/126 [..............................] - ETA: 0s - loss: 1.0490e-04 - mean_absolute_error: 0.0084 13/126 [==>...........................] - ETA: 0s - loss: 9.0579e-05 - mean_absolute_error: 0.0074 29/126 [=====>........................] - ETA: 0s - loss: 9.3586e-05 - mean_absolute_error: 0.0074 45/126 [=========>....................] - ETA: 0s - loss: 1.0157e-04 - mean_absolute_error: 0.0077 61/126 [=============>................] - ETA: 0s - loss: 1.0829e-04 - mean_absolute_error: 0.0079 77/126 [=================>............] - ETA: 0s - loss: 1.0800e-04 - mean_absolute_error: 0.0079 94/126 [=====================>........] - ETA: 0s - loss: 1.0746e-04 - mean_absolute_error: 0.0079110/126 [=========================>....] - ETA: 0s - loss: 1.0590e-04 - mean_absolute_error: 0.0079126/126 [==============================] - 0s 4ms/step - loss: 1.0925e-04 - mean_absolute_error: 0.0079 - val_loss: 6.2674e-05 - val_mean_absolute_error: 0.0065
Epoch 97/100
  1/126 [..............................] - ETA: 0s - loss: 1.6072e-04 - mean_absolute_error: 0.0101 18/126 [===>..........................] - ETA: 0s - loss: 1.1592e-04 - mean_absolute_error: 0.0081 34/126 [=======>......................] - ETA: 0s - loss: 1.0492e-04 - mean_absolute_error: 0.0078 51/126 [===========>..................] - ETA: 0s - loss: 1.1980e-04 - mean_absolute_error: 0.0081 68/126 [===============>..............] - ETA: 0s - loss: 1.2076e-04 - mean_absolute_error: 0.0083 84/126 [===================>..........] - ETA: 0s - loss: 1.2194e-04 - mean_absolute_error: 0.0082100/126 [======================>.......] - ETA: 0s - loss: 1.1667e-04 - mean_absolute_error: 0.0081116/126 [==========================>...] - ETA: 0s - loss: 1.1389e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 4ms/step - loss: 1.1245e-04 - mean_absolute_error: 0.0079 - val_loss: 5.5870e-05 - val_mean_absolute_error: 0.0061
Epoch 98/100
  1/126 [..............................] - ETA: 0s - loss: 1.1251e-04 - mean_absolute_error: 0.0084 15/126 [==>...........................] - ETA: 0s - loss: 1.0866e-04 - mean_absolute_error: 0.0079 30/126 [======>.......................] - ETA: 0s - loss: 1.2719e-04 - mean_absolute_error: 0.0088 46/126 [=========>....................] - ETA: 0s - loss: 1.2410e-04 - mean_absolute_error: 0.0087 62/126 [=============>................] - ETA: 0s - loss: 1.2602e-04 - mean_absolute_error: 0.0087 78/126 [=================>............] - ETA: 0s - loss: 1.4759e-04 - mean_absolute_error: 0.0093 94/126 [=====================>........] - ETA: 0s - loss: 1.4209e-04 - mean_absolute_error: 0.0091110/126 [=========================>....] - ETA: 0s - loss: 1.4039e-04 - mean_absolute_error: 0.0090126/126 [==============================] - 0s 4ms/step - loss: 1.4111e-04 - mean_absolute_error: 0.0091 - val_loss: 6.1975e-05 - val_mean_absolute_error: 0.0065
Epoch 99/100
  1/126 [..............................] - ETA: 0s - loss: 1.3777e-04 - mean_absolute_error: 0.0101 18/126 [===>..........................] - ETA: 0s - loss: 1.6356e-04 - mean_absolute_error: 0.0104 35/126 [=======>......................] - ETA: 0s - loss: 1.5318e-04 - mean_absolute_error: 0.0095 52/126 [===========>..................] - ETA: 0s - loss: 1.3724e-04 - mean_absolute_error: 0.0090 68/126 [===============>..............] - ETA: 0s - loss: 1.2844e-04 - mean_absolute_error: 0.0086 84/126 [===================>..........] - ETA: 0s - loss: 1.3241e-04 - mean_absolute_error: 0.0086100/126 [======================>.......] - ETA: 0s - loss: 1.3183e-04 - mean_absolute_error: 0.0087116/126 [==========================>...] - ETA: 0s - loss: 1.3171e-04 - mean_absolute_error: 0.0087126/126 [==============================] - 0s 4ms/step - loss: 1.2808e-04 - mean_absolute_error: 0.0086 - val_loss: 4.4323e-05 - val_mean_absolute_error: 0.0052
Epoch 100/100
  1/126 [..............................] - ETA: 0s - loss: 1.2600e-04 - mean_absolute_error: 0.0090 17/126 [===>..........................] - ETA: 0s - loss: 9.4869e-05 - mean_absolute_error: 0.0073 33/126 [======>.......................] - ETA: 0s - loss: 9.9687e-05 - mean_absolute_error: 0.0074 49/126 [==========>...................] - ETA: 0s - loss: 1.0723e-04 - mean_absolute_error: 0.0077 65/126 [==============>...............] - ETA: 0s - loss: 1.0266e-04 - mean_absolute_error: 0.0076 81/126 [==================>...........] - ETA: 0s - loss: 1.1078e-04 - mean_absolute_error: 0.0078 97/126 [======================>.......] - ETA: 0s - loss: 1.0716e-04 - mean_absolute_error: 0.0077113/126 [=========================>....] - ETA: 0s - loss: 1.1439e-04 - mean_absolute_error: 0.0080126/126 [==============================] - 0s 4ms/step - loss: 1.1669e-04 - mean_absolute_error: 0.0081 - val_loss: 4.5783e-05 - val_mean_absolute_error: 0.0053

<keras.src.callbacks.History at 0x28ea24b7150>

After the training and fitting of the Machine Learning model for Switzerland, I tried to create visualizations comparing the model against the country’s training dataset, validation dataset, but most importantly the testing dataset (as shown below in the line graphs). Note that the darker and thicker blue lines represent the prediction model’s projections and the thinner red lines is the observed/gathered data.

```{python}
# Testing the Machine Learning Model prediction for Switzerland with the train, 
# validation, and test sets
# Most important is the test set prediction as this tests the effectiveness
# of the Machine Learning model on data it has not seen before 
switzerland_train_pred = switzerland_model.predict(X_switzerland_train).flatten()

plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4)
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.legend(["Training Predictions", "Training Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Training Set Predictions vs. Observations")
plt.show()

switzerland_val_pred = switzerland_model.predict(X_switzerland_val).flatten()

plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.legend(["Validation Predictions", "Validation Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Validation Set Predictions vs. Observations")
plt.show()

switzerland_test_pred = switzerland_model.predict(X_switzerland_test).flatten()

plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)
plt.legend(["Testing Predictions", "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Switzerland - Testing Set Predictions vs. Observations")
plt.show()
```

  1/126 [..............................] - ETA: 41s 30/126 [======>.......................] - ETA: 0s  61/126 [=============>................] - ETA: 0s 92/126 [====================>.........] - ETA: 0s123/126 [============================>.] - ETA: 0s126/126 [==============================] - 1s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step
 1/16 [>.............................] - ETA: 0s16/16 [==============================] - 0s 2ms/step

Through careful consideration of all of the prediction-based vs. observation-based contrast visualizations together, I consolidated all of graphics into one singular visualization for you to see below to get a more general perspective of the effectiveness of the Machine Learning model at training and fitting towards predicting Switzerland’s international currency rate with the United States.

```{python}
# Plotting Switzerland's observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model) 
plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4)
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1)
plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4)
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1)
plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4)
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1)

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Switzerland's Dataset - Predictions vs. Observations")
plt.show()
```

To put it all together, I made one large visualization to encompass all 4 countries’ Machine Learning model prediction-based vs. observation-based visualizations - Austrailia, Canada, the United Kingdom, and Switzerland as shown below.

```{python}
# Plotting all countries' observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model in an overall sense) 
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1, linestyle="solid")

plt.plot(dates_canada_train, canada_train_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_train, y_canada_train, linewidth=1, linestyle="dashed")
plt.plot(dates_canada_val, canada_val_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_val, y_canada_val, linewidth=1, linestyle="dashed")
plt.plot(dates_canada_test, canada_test_pred, linewidth=4, linestyle="dashed")
plt.plot(dates_canada_test, y_canada_test, linewidth=1, linestyle="dashed")

plt.plot(dates_united_kingdom_train, united_kingdom_train_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_train, y_united_kingdom_train, linewidth=1, linestyle="dotted")
plt.plot(dates_united_kingdom_val, united_kingdom_val_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_val, y_united_kingdom_val, linewidth=1, linestyle="dotted")
plt.plot(dates_united_kingdom_test, united_kingdom_test_pred, linewidth=4, linestyle="dotted")
plt.plot(dates_united_kingdom_test, y_united_kingdom_test, linewidth=1, linestyle="dotted")

plt.plot(dates_switzerland_train, switzerland_train_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_train, y_switzerland_train, linewidth=1, linestyle="dashdot")
plt.plot(dates_switzerland_val, switzerland_val_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_val, y_switzerland_val, linewidth=1, linestyle="dashdot")
plt.plot(dates_switzerland_test, switzerland_test_pred, linewidth=4, linestyle="dashdot")
plt.plot(dates_switzerland_test, y_switzerland_test, linewidth=1, linestyle="dashdot")

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations"])
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of All Four Countries' Datasets - Predictions vs. Observations")
plt.show()
```

Ultimately, here is the moment of truth: I tried to recursively predict Austrailia’s future expected projection on its international currency rate between the United States through using my LSTM prediction model as shown below. By using the data from the training dataset for Austrailia, I tried to contrast the effectiveness of the model by constrasting its projection to the actual validation and testing data results. However, unfortunately, it did not predict as well as I hoped, but this was a good experiment, nonetheless.

```{python}
# Attempt at using the model to predict into the future for Austrailia's currency 
# rate
recursive_pred: list = []
recursive_dates = np.concatenate([dates_austrailia_val, dates_austrailia_test])

for target_date in recursive_dates:
    last_window = deepcopy(X_austrailia_train[-1])
    next_pred = austrailia_model.predict(np.array([last_window])).flatten()
    recursive_pred.append(next_pred)
    last_window[-1] = next_pred
```

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To visualize the results of my recursive prediction that I completed, I added these results to the previous large visualization that encompassed all 4 countries’ Machine Learning model prediction-based vs. observation-based visualizations - Austrailia, Canada, the United Kingdom, and Switzerland as shown below.

```{python}
# Plotting all countries' observational (reference) data with the predictions 
# of its Machine Learning Model (as a way to visually inspect the effectiveness 
# of the model in an overall sense) along with the new recursive prediction
# results
plt.plot(dates_austrailia_train, austrailia_train_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_train, y_austrailia_train, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_val, austrailia_val_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_val, y_austrailia_val, linewidth=1, linestyle="solid")
plt.plot(dates_austrailia_test, austrailia_test_pred, linewidth=4, linestyle="solid")
plt.plot(dates_austrailia_test, y_austrailia_test, linewidth=1, linestyle="solid")
plt.plot(recursive_dates, recursive_pred, linewidth=4, linestyle="solid")

plt.legend(["Training Predictions",
            "Training Observations",
            "Validation Predictions",
            "Validation Observations",
            "Testing Predictions",
            "Testing Observations",
            "Recursive Predictions"], loc="upper right")
plt.rcParams["font.size"] = 8
plt.tight_layout()
plt.xlabel("Historical Date")
plt.ylabel("Currency Rate of the Respective Country to USD")
plt.title("Culmination of the Three Machine Learning Phases of Austrailia's Dataset - Predictions vs. Observations (With Recursive Pred. Attempt)")
plt.show()
```

Conclusions

• Returning to my attempt to test the ability for my Machine Learning model to predict the International Currency rates for Austrailia from just the range of my training dataset as shown above, I felt that its prediction was acceptable in my opinion giving the averaging across the currency rate values in my validation and testing datasets would have proven to be considerably close in its precision.

• Thus, I reached the conclusion that my International Currency Predictor would not be a viable Machine Learning model for any real-life applications. This Machine Learning model raised a valuable point - financial market prediction is a difficult endeavor to accurately predict. From a more general point of view, this International Currency Maching Learning prediction model is not totally inaccurate or untrustworthy but rather it is only on the micro-scale. These financial predictions do not always account for current events in that respective country such as changing domestic or international relations or constantly changing socioeconomic trends which could significantly sway market confidence and impact currency rate fluctuation. Consequently, economists often have to look at larger economic trends across several decades in order to make more educated predictions.

• Ultimately, I learned a great deal about the complexities of financial prediction and usage of Machine Learning models as an attempt to solve this issue. Even though my model was not as successful at predicting as I would have hoped, I am interested to see the future of Machine Learning as it soon dominates these economic sub-field and continues to rise in its relevance by being a pivotal talking point for the future and applied soon enough to other sectors of our society.

Reference Sources and Citations (IEEE Format)

To complete this blog post, I used the following online sources as references for developing this:

[1] US International Exchange Rates Dataset:

B. Ferreira, “Foreign Exchange Rates 2000-2019”, 2019. [Online]. Available: https://www.kaggle.com/datasets/brunotly/foreign-exchange-rates-per-dollar-20002019. [Accessed: 04-Sep.-2023].

[2] Tutorial on Basics of LSTM and Prediction & Forecasting in Machine Learning:

Greg Hogg, “Stock Price Prediction & Forecasting with LSTM Neural Networks in Python”, YouTube, 26-Mar.-2022. [Online.] Available: https://www.youtube.com/watch?v=CbTU92pbDKw. [Accessed: 06-Sep.-2023].